Most models of voting behavior rely on demographic variables as predictors. That is, they look at voters in various demographic buckets (age, race, education, sex, income, etc.), and their votes as reported to surveys, like the CCES survey, or via voter-files. From this data, probabilities for voting for certain candidates based on demographics are inferred and used, along with some weighting of the electorate—that is, some model of who is likely to vote—to analyze election results or to predict electoral outcomes.
Underlying this work is the idea that these demographic variables are good predictors of voters behavior. More sophisticated methods, like MRP, are able to add some geographic variation to these inferences but the underlying concept is the same. If you know someone’s demographics, you can estimate the probability that they will vote for a candidate of a given party.
Though models of demographics may be very complex, with hundreds or thousands of possible combinations of age, sex, etc., these results are often massively simplified when discussed and presented in the popular press. So we look at groups like “White Working-Class Men” or “Black Women” as ways of understanding the dynamics of elections. For example, Rachel Bitecofer talks about the importance of “pools of educated voters” in shifting house districts.
We were interested in examining these ideas in a slightly different way. We start with the same general idea, bucket people by demographic groups—in our case by age (under or over 45), sex (male or female), education (non-college-grad or college grad) and race (Black, Latinx, Asian, White-non-Latinx and other). We break race down more finely than the other categories because there is considerable evidence that Black, Latinx, Asian and White-non-Latinx voters are very distinct in their voting behavior and so merging them into White and non-White would be insufficient.
Next we tried to understand which house districts were demographically similar to each other. This is not simple! Even in our relatively straightforward demographic breakdown, there are 40 numbers describing each district (the percentage of people in the district in each category). What does “similar” mean here?
So we tried some things! In each case, we use purely demographic variables to quantify and visualize some idea of distance between districts and then add 2018 voting results on top in order to see if demographic similarity leads to electoral-outcome similarity. As we’ll explain below, we also begin to explore what it means when a district’s voting behavior looks “out-of-place” or “anomalous” when analyzed this way.
First, we tried looking at the principal components of the demographics. That is, we considered the 438 (districts) row by 40 (demographic %s) column matrix, \(P\), and looked at the eigen-vectors of the two largest eigen-values of \(P^TP\). These should be the two “directions” in demographic space which account for the most variation among districts. We project each district onto these two vectors and plot the result along with the Dem vote share in the 2018 house race. This is pictured below.
The largest eigenvalue (corresponding to “PC1”) is about 20 times larger than the 2nd (corresponding to “PC2”). The 2nd is about 3 times larger than the 3rd and the spectrum gets flatter from there. The actual values of the PCA variables don’t mean anything obvious. With a little examination of the vectors themselves, it’s pretty clear that negative values of “PC1” correspond roughly to “White Working Class” and positive values of “PC2” correspond roughly to “Black Working Class”.
Some examples of how this plays out: the district in the lower-right corner is HI-1, a district which is 54% Asian, 19% White and 5% Latinx and 2% Black. So it’s a place with lower than typical numbers of White and Black working class folks. By contrast, the lower-leftmost district (which is hard to see on the chart) is MT-0, a district that is 91% White, 6% Native American and 2% Latinx. With a median income of about $54,000, MT-0 is full of White working class people but almost no black people at all. As a last example, consider GA-5, the district John Lewis’s represented until his death and the district with the largest projection on PC2. GA-5 is 58% Black, 32% White, 6% Latinx and 5% Asian. The median income in GA-5 is about $57,000. So GA-5 has many working class Black people and comparatively few white ones.
The most striking thing is how strongly separated the blue (house districts that elected democrats) are from the red districts (house districts that elected republicans). Recall that vote-share was not in any way involved in the computation of the principal components. And yet, the projection of the demographics onto the principal components shows a clear if hard-to-specify relationship between demographics and election outcome.
Also of note are some districts which seem “out-of-place”, for example FL-25, which is a faint red-dot (PC1 = -52740, PC2=3313) surrounded by blue dots. FL-25 is 76% Latinx, which would usually suggest a democratic district, like NJ-8, just below it in the chart. But over 50% of the Latinx residents of FL-25 are Cuban, and Cubans are much more likely to vote Republican than other Latinx voters. Other out-of-place districts may likewise have district-specific explanations. But others might be places worth looking for flippable districts.
Principal components analysis is an example of dimension-reduction and, in the case where it’s used to look at only a small number of components, something we will call an “embedding”. By an “embedding” we mean somehow representing the high-dimensional space in a lower-dimensional one. Such a thing has nothing specific to say about how alike or different things are, though we may try to use the embedded distances that way. This is different from using “clustering” to visualize high-dimensional data. Clustering is entirely about similarity and difference but often has nothing more specific to say than whether things are in the same cluster.
These methods are often combined; frequently an embedding is then clustered (using k-means, or something similar) or data is clustered and then embedded, where the clusters may be more easily viewed.
So let’s cluster this data and see what that looks like! As an example of clustering, we will use Self-Organizing-Maps (SOMs). The SOM is an interesting clustering method because it can preserve a bit more information than just what’s in each cluster. It can also identify nearby clusters, or more precisely, it may preserve some of the structure of the high-dimensional data. To make an SOM, we choose a few districts at random and “place” them at the points of a 3x3 grid. Then we use all the districts to “train” the SOM as follows: one district at a time, we find the “closest” (here we use the absolute-value of the coordinate differences in the high-dimensional space) district to it on the grid. Then we move the district on the grid closer to the input district. We do the same, but to a lesser extent with the nearest neighbors of that point on the grid. Once the SOM has seen all the districts, we stop and then use each point of the grid as a cluster by assigning every district to its closest grid point in the now-rearranged grid. Since the SOM has some concept of nearness built in, we make a sort of embedding out of these clusters by plotting them on the grid. We assign coordinates by using a weighted average of the inverse distances to the closest grid district and its nearest neighbors. Like the PCA chart, we assign a color to each district based on the D vs. R vote-share in the 2018 house elections.
Again we see some very clear separation between blue and red districts and then some clusters which are mixed. Even within the mixed clusters, using our ad-hoc embedding scheme, we see some blue/red separation. That is, in mixed clusters, blue districts often “lean” toward a bluer cluster and red ones toward a redder cluster. This again, supports our intuition that demographics determines a great deal of voting behavior.
One weakness of the PCA embedding was that it made inefficient use of the 2D space. It also is prone to showing some things as close that might actually be fairly far apart, just in directions which are orthogonal to the PCs we used. For example, neither of the first 2 PCs had a strong educational component.
“t-Distributed Stochastic Neighbor Embedding” (tSNE) is a (non-linear) technique for overcoming some of these issues. Rather than project the high-dimensional data directly, tSNE attempts to build a 2D representation which preserves the distribution of distances to neighbors. Roughly, tSNE begins by computing, for each district, a probability distribution over the other districts, where nearness corresponds to high probability. Then it builds a 2-dimensional set of coordinates such that these neighbor probabilities are as close as possible to the original ones. There’s one crucial parameter, called “perplexity” which roughly stands in for the number of nearest neighbors each district should have. At low perplexity, only the very nearest neighbors have probabilities much different from 0, at higher perplexities, more neighbors have non-zero probabilities.
As with the other charts, on the tSNE chart below, we add color to each district to show 2-party vote-share.
A detour is in order to talk about where we’re trying to go with all this. Our basic interest is identifying districts which elected a Republican to the house in the last election (2018 here) but are demographically more similar to a set of districts which, on average, elected Democrats. These districts might be “flippable” in this election or in the future. We’re also interested in the same thing but with the parties reversed. Those are districts we might need to work harder to defend.
So far, we have a simple tSNE inspired approach to this. First we choose a demographic distance between districts–this could be the original 40-dimensional distance, which we call “Raw”, the distance using the first two principal components, the distance using the tSNE coordinates, or the distance on our SOM embedding. Then, as in the first step of tSNE, we construct a probability distribution over pairs of districts such that “closer” districts have higher probability than ones further apart. We use those probabilities to construct a distribution of 2-party vote-shares. In particular, for the \(i\)th district, we compute the mean, \(m_i\), and standard deviation \(\sigma_i\) of that distribution. Then, for the district in question, we look at the standard-deviation-scaled difference between the 2-party vote share, \(v_i\), in the district and what is “expected” using the probability weighted neighbors: \(a_i = \frac{v_i - m_i}{\sigma_i}\).
One issue is immediately apparent. There are a lot of large dark blue points, and a few large dark red ones. These are districts where Democrats or Republicans ran unopposed, thus they are anomalous, but likely not in a very interesting way! This makes it clear that we really care only about anomalies where \(v_i\) and \(m_i\) are on different sides of 50%. Plotting that (which we call the “Flip Index”) instead, we get the chart below.
Also, we can look directly at anomaly vs 2018 vote-share (and add 2016 vote-share via color):
Some questions:
Is this way of looking at “anomalousness” at all useful? On the one hand, it makes some intuitive sense: make some sensible definition of “neighborhood” and then use that to consider what’s unexpected. However, tSNE itself is not a method for detecting outliers since it shifts relative distances. I don’t think that’s what we’re doing here, though we are using tSNE inspired probabilities to construct our neighborhood.
We’re struggling with districts where candidates ran unopposed. These are outliers but not errors and they shouldn’t be dropped. Should we transform vote-share somehow? Or, at the very least, set the vote-share of the unopposed to the max/min vote-share in a competitive district? Is there some clever way to use neighborhoods to set a better edge?
Is there a better way than the “Flip Index” idea to focus in on the question of flippability?
The table below has all this data in tabular form.
| State | District | 2018 D Vote Share | Mean Vote Share (Raw) | Std Deviation (Raw) | Raw Scaled Delta | Raw Flip Index | tSNE Scaled Delta | SOM Scaled Delta | PCA Scaled Delta |
|---|---|---|---|---|---|---|---|---|---|
| CA | 8 | 0.0 | 54.5 | 12.0 | (4.56) | 4.56 | (4.23) | (3.92) | (3.75) |
| NC | 3 | 0.0 | 44.1 | 11.0 | (4.01) | 0.00 | (4.78) | (3.02) | (4.07) |
| GA | 8 | 0.0 | 48.3 | 16.0 | (3.03) | 0.00 | (3.69) | (3.27) | (3.01) |
| GA | 9 | 20.5 | 41.3 | 8.1 | (2.58) | 0.00 | (3.90) | (1.62) | (1.60) |
| TN | 1 | 21.4 | 38.7 | 8.0 | (2.16) | 0.00 | (2.47) | (1.51) | (1.84) |
| AL | 4 | 20.1 | 41.7 | 10.8 | (2.00) | 0.00 | (2.59) | (1.56) | (1.86) |
| TX | 13 | 17.2 | 40.4 | 11.7 | (1.98) | 0.00 | (2.17) | (1.90) | (1.83) |
| KY | 5 | 21.1 | 37.9 | 8.9 | (1.88) | 0.00 | (1.81) | (1.86) | (1.82) |
| NE | 3 | 23.3 | 46.0 | 12.3 | (1.85) | 0.00 | (2.05) | (1.38) | (1.76) |
| FL | 25 | 39.5 | 71.7 | 18.0 | (1.78) | 1.78 | (1.94) | (2.01) | (2.67) |
| TX | 11 | 18.7 | 41.1 | 13.3 | (1.68) | 0.00 | (1.50) | (1.50) | (2.75) |
| OK | 2 | 31.6 | 52.5 | 13.9 | (1.50) | 1.50 | (1.83) | (1.90) | (1.86) |
| CA | 39 | 51.6 | 72.3 | 14.0 | (1.49) | 0.00 | (2.82) | (2.09) | (1.81) |
| TX | 4 | 23.3 | 38.1 | 10.2 | (1.45) | 0.00 | (1.35) | (1.63) | (1.47) |
| OK | 3 | 26.1 | 43.3 | 12.0 | (1.43) | 0.00 | (1.60) | (1.12) | (1.98) |
| TX | 8 | 25.3 | 38.0 | 8.9 | (1.43) | 0.00 | (1.34) | (1.15) | (1.21) |
| GA | 14 | 23.5 | 36.7 | 9.5 | (1.40) | 0.00 | (1.27) | (1.56) | (1.41) |
| IL | 15 | 29.1 | 39.2 | 7.5 | (1.36) | 0.00 | (1.96) | (1.05) | (1.02) |
| MO | 8 | 25.4 | 37.5 | 9.1 | (1.32) | 0.00 | (1.18) | (1.49) | (1.28) |
| TX | 19 | 24.8 | 46.1 | 16.4 | (1.30) | 0.00 | (1.75) | (1.88) | (1.56) |
| LA | 1 | 27.1 | 41.8 | 11.7 | (1.25) | 0.00 | (1.46) | (1.45) | (1.12) |
| PA | 13 | 29.5 | 39.8 | 8.5 | (1.20) | 0.00 | (1.04) | (1.03) | (1.21) |
| TX | 1 | 26.7 | 40.1 | 11.1 | (1.20) | 0.00 | (0.86) | (1.09) | (1.47) |
| CA | 45 | 52.1 | 67.4 | 13.1 | (1.18) | 0.00 | (1.37) | (0.49) | (1.09) |
| SC | 3 | 31.4 | 45.4 | 12.1 | (1.16) | 0.00 | (1.47) | (1.27) | (1.05) |
| AZ | 4 | 30.9 | 40.6 | 8.6 | (1.12) | 0.00 | (0.98) | (1.15) | (0.91) |
| NY | 2 | 49.2 | 63.9 | 13.5 | (1.10) | 1.10 | (1.21) | (0.59) | (1.10) |
| PA | 15 | 32.2 | 41.7 | 8.7 | (1.09) | 0.00 | (1.21) | (0.89) | (1.11) |
| FL | 26 | 50.9 | 73.2 | 20.8 | (1.08) | 0.00 | (1.12) | (1.38) | (1.69) |
| UT | 3 | 28.8 | 52.0 | 21.7 | (1.07) | 1.07 | (1.18) | (0.97) | (1.71) |
| FL | 23 | 61.9 | 79.8 | 17.1 | (1.05) | 0.00 | (1.46) | (0.79) | (1.35) |
| KS | 1 | 31.9 | 44.9 | 12.6 | (1.04) | 0.00 | (1.67) | (0.75) | (1.27) |
| FL | 4 | 33.2 | 44.3 | 10.7 | (1.03) | 0.00 | (0.87) | (0.81) | (1.07) |
| AL | 6 | 30.8 | 44.3 | 13.2 | (1.03) | 0.00 | (1.35) | (1.01) | (0.96) |
| WY | 0 | 31.9 | 47.3 | 15.4 | (1.00) | 0.00 | (1.13) | (1.79) | (1.39) |
| UT | 1 | 28.8 | 49.3 | 20.6 | (1.00) | 0.00 | (1.24) | (0.97) | (1.06) |
| CA | 48 | 53.6 | 68.7 | 15.3 | (0.99) | 0.00 | (1.03) | (0.66) | (0.94) |
| AR | 1 | 29.4 | 41.6 | 12.5 | (0.97) | 0.00 | (1.82) | (1.01) | (1.13) |
| FL | 2 | 32.6 | 43.9 | 12.1 | (0.94) | 0.00 | (1.06) | (1.49) | (0.81) |
| AR | 4 | 31.9 | 43.4 | 12.3 | (0.94) | 0.00 | (1.13) | (1.46) | (0.78) |
| FL | 11 | 34.8 | 43.0 | 8.7 | (0.93) | 0.00 | (1.34) | (1.07) | (0.49) |
| TN | 8 | 30.8 | 42.3 | 12.4 | (0.93) | 0.00 | (1.08) | (1.27) | (0.91) |
| VA | 9 | 34.8 | 42.8 | 8.7 | (0.92) | 0.00 | (1.57) | (0.75) | (0.57) |
| WV | 1 | 35.4 | 45.9 | 11.5 | (0.91) | 0.00 | (0.45) | (0.52) | (0.95) |
| TX | 7 | 52.5 | 67.1 | 16.0 | (0.91) | 0.00 | (0.50) | (0.45) | (1.30) |
| NY | 11 | 54.6 | 65.2 | 11.6 | (0.91) | 0.00 | (1.77) | (0.62) | (1.01) |
| TN | 6 | 28.9 | 37.7 | 9.6 | (0.91) | 0.00 | (0.85) | (1.03) | (0.90) |
| MD | 1 | 38.8 | 48.2 | 10.4 | (0.90) | 0.00 | (1.29) | (1.28) | (0.70) |
| NJ | 4 | 43.7 | 53.4 | 10.8 | (0.90) | 0.90 | (1.66) | (0.94) | (0.62) |
| GA | 6 | 50.5 | 64.6 | 15.7 | (0.90) | 0.00 | (0.55) | (0.55) | (0.90) |
| FL | 27 | 53.1 | 71.6 | 21.0 | (0.88) | 0.00 | (0.91) | (1.27) | (1.49) |
| CA | 23 | 36.3 | 55.3 | 22.0 | (0.87) | 0.87 | (1.12) | (1.19) | (1.19) |
| NY | 1 | 50.5 | 60.9 | 12.0 | (0.86) | 0.00 | (0.96) | (0.44) | (0.48) |
| WA | 4 | 37.2 | 51.0 | 16.1 | (0.85) | 0.85 | (0.82) | (1.28) | (1.04) |
| FL | 8 | 39.5 | 47.2 | 9.1 | (0.85) | 0.00 | (0.52) | (0.56) | (0.80) |
| GA | 2 | 59.6 | 76.4 | 20.1 | (0.83) | 0.00 | (1.93) | (2.10) | (1.10) |
| NJ | 7 | 52.5 | 63.0 | 12.7 | (0.82) | 0.00 | (0.95) | (0.13) | (0.91) |
| LA | 6 | 29.1 | 41.7 | 15.3 | (0.82) | 0.00 | (0.86) | (1.34) | (0.86) |
| PA | 12 | 34.0 | 40.9 | 8.6 | (0.81) | 0.00 | (0.95) | (0.72) | (0.81) |
| IL | 18 | 32.8 | 41.3 | 10.6 | (0.81) | 0.00 | (0.77) | (0.69) | (0.77) |
| NV | 2 | 41.8 | 57.6 | 20.1 | (0.79) | 0.79 | (1.47) | (0.15) | (0.73) |
| TX | 24 | 48.4 | 59.4 | 14.0 | (0.79) | 0.79 | (0.73) | (0.59) | (1.03) |
| FL | 19 | 37.7 | 47.1 | 12.0 | (0.78) | 0.00 | (0.76) | (0.76) | (1.18) |
| OH | 6 | 30.7 | 37.6 | 8.7 | (0.78) | 0.00 | (0.70) | (1.04) | (0.78) |
| TX | 36 | 27.4 | 36.4 | 11.6 | (0.78) | 0.00 | (0.51) | (1.27) | (1.18) |
| FL | 18 | 45.7 | 58.4 | 16.5 | (0.77) | 0.77 | 0.23 | (0.59) | (0.70) |
| MO | 7 | 31.2 | 38.8 | 9.9 | (0.77) | 0.00 | (1.00) | (0.80) | (0.70) |
| AR | 3 | 33.5 | 41.8 | 11.2 | (0.74) | 0.00 | (0.53) | (0.88) | (0.81) |
| MS | 3 | 37.1 | 54.6 | 23.8 | (0.74) | 0.74 | (0.10) | (0.89) | (0.89) |
| CA | 25 | 54.4 | 65.9 | 15.8 | (0.73) | 0.00 | (0.73) | (0.26) | (0.89) |
| FL | 17 | 37.7 | 43.9 | 8.5 | (0.73) | 0.00 | (0.77) | (0.74) | (0.32) |
| CA | 47 | 64.9 | 75.9 | 15.2 | (0.72) | 0.00 | (0.53) | (1.04) | (0.96) |
| KY | 1 | 31.4 | 36.5 | 7.1 | (0.72) | 0.00 | (0.97) | (0.83) | (0.75) |
| TX | 3 | 44.9 | 53.4 | 11.9 | (0.71) | 0.71 | (1.11) | (0.66) | (0.54) |
| TX | 2 | 46.3 | 56.4 | 14.2 | (0.71) | 0.71 | (0.97) | (0.82) | (1.11) |
| FL | 1 | 32.9 | 40.8 | 11.2 | (0.70) | 0.00 | (0.93) | (0.78) | (0.95) |
| OK | 4 | 34.4 | 44.8 | 15.1 | (0.69) | 0.00 | (0.75) | (0.61) | (0.93) |
| MS | 4 | 31.1 | 39.7 | 12.5 | (0.69) | 0.00 | (0.39) | (0.80) | (0.69) |
| CA | 9 | 56.5 | 69.3 | 18.7 | (0.69) | 0.00 | (1.71) | (0.31) | (0.75) |
| FL | 9 | 58.0 | 70.5 | 18.4 | (0.68) | 0.00 | (1.21) | (1.01) | (0.62) |
| VA | 10 | 56.2 | 65.5 | 13.7 | (0.68) | 0.00 | (1.44) | 0.03 | (0.58) |
| ID | 1 | 32.9 | 39.1 | 9.4 | (0.67) | 0.00 | (1.11) | (0.76) | (0.63) |
| CA | 7 | 55.0 | 65.0 | 14.9 | (0.66) | 0.00 | (0.71) | (0.56) | (0.75) |
| FL | 3 | 42.4 | 53.7 | 17.0 | (0.66) | 0.66 | (0.91) | (0.25) | (0.58) |
| KY | 2 | 31.8 | 37.5 | 8.8 | (0.66) | 0.00 | (0.78) | (0.76) | (0.57) |
| GA | 7 | 49.9 | 59.4 | 14.6 | (0.65) | 0.65 | (0.73) | (0.28) | (1.15) |
| AK | 0 | 46.7 | 57.4 | 16.6 | (0.64) | 0.64 | (0.59) | (0.89) | (1.20) |
| LA | 3 | 30.7 | 38.9 | 12.7 | (0.64) | 0.00 | (0.41) | (0.79) | (0.73) |
| FL | 7 | 57.7 | 67.8 | 16.5 | (0.61) | 0.00 | (1.21) | (0.30) | (0.66) |
| TN | 2 | 33.4 | 38.4 | 8.2 | (0.61) | 0.00 | (0.63) | (0.64) | (0.46) |
| LA | 5 | 31.1 | 39.8 | 14.5 | (0.60) | 0.00 | (0.66) | (1.23) | (0.67) |
| MO | 6 | 32.8 | 38.3 | 9.1 | (0.60) | 0.00 | (0.67) | (0.69) | (0.44) |
| CA | 42 | 43.5 | 53.2 | 16.2 | (0.60) | 0.60 | (0.90) | (0.92) | (1.17) |
| MS | 1 | 32.6 | 40.1 | 12.6 | (0.59) | 0.00 | (0.51) | (1.15) | (0.59) |
| MO | 4 | 33.5 | 38.8 | 8.9 | (0.59) | 0.00 | (0.62) | (0.76) | (0.41) |
| TX | 17 | 42.1 | 50.6 | 14.6 | (0.58) | 0.58 | (0.75) | (0.85) | (0.52) |
| GA | 11 | 38.2 | 45.7 | 13.0 | (0.58) | 0.00 | (0.88) | (0.47) | (0.67) |
| CA | 22 | 47.3 | 56.0 | 15.4 | (0.56) | 0.56 | (0.68) | (0.63) | (1.05) |
| SC | 4 | 38.0 | 45.6 | 14.0 | (0.54) | 0.00 | (0.98) | (0.57) | (0.56) |
| CA | 38 | 68.9 | 77.0 | 15.2 | (0.54) | 0.00 | (0.75) | (0.74) | (0.70) |
| CA | 43 | 77.7 | 85.6 | 14.9 | (0.53) | 0.00 | (1.47) | (0.11) | (0.30) |
| TN | 3 | 35.1 | 40.9 | 11.0 | (0.53) | 0.00 | (0.49) | (0.56) | (0.30) |
| FL | 12 | 40.6 | 44.9 | 8.4 | (0.52) | 0.00 | (0.28) | (0.48) | (0.54) |
| GA | 3 | 34.5 | 41.5 | 13.7 | (0.52) | 0.00 | (0.57) | (1.03) | (0.61) |
| AZ | 6 | 44.8 | 50.9 | 11.9 | (0.51) | 0.51 | (1.05) | 0.44 | (0.42) |
| IL | 6 | 53.6 | 60.6 | 13.8 | (0.51) | 0.00 | (0.54) | (0.18) | (0.28) |
| NV | 1 | 68.2 | 76.6 | 16.4 | (0.51) | 0.00 | (0.89) | (0.80) | (0.50) |
| TX | 22 | 47.5 | 54.0 | 13.0 | (0.50) | 0.50 | (0.89) | (0.96) | (1.01) |
| UT | 2 | 40.9 | 51.6 | 21.7 | (0.49) | 0.49 | (0.79) | (0.36) | (0.73) |
| CT | 5 | 55.4 | 62.4 | 14.5 | (0.48) | 0.00 | (0.61) | (0.21) | (0.60) |
| LA | 4 | 34.4 | 43.5 | 18.9 | (0.48) | 0.00 | (0.23) | (1.04) | (0.56) |
| CO | 5 | 40.8 | 48.4 | 15.9 | (0.48) | 0.00 | (0.26) | (0.08) | (0.51) |
| MO | 3 | 33.5 | 38.2 | 9.8 | (0.47) | 0.00 | (0.77) | (0.73) | (0.44) |
| WI | 5 | 38.0 | 42.2 | 8.9 | (0.47) | 0.00 | (0.93) | (0.22) | (0.39) |
| OH | 8 | 33.4 | 37.0 | 7.7 | (0.47) | 0.00 | (0.77) | (0.75) | (0.48) |
| TX | 12 | 34.5 | 40.9 | 13.6 | (0.47) | 0.00 | (0.85) | (0.46) | (0.58) |
| WI | 8 | 36.3 | 40.3 | 8.5 | (0.47) | 0.00 | (0.59) | (0.44) | (0.34) |
| MD | 4 | 79.7 | 85.9 | 13.2 | (0.47) | 0.00 | (2.02) | (0.52) | (0.62) |
| CA | 21 | 50.4 | 59.0 | 18.8 | (0.46) | 0.00 | (0.58) | (0.52) | (0.83) |
| TX | 32 | 53.3 | 60.0 | 14.7 | (0.45) | 0.00 | (0.30) | (0.33) | (0.68) |
| PA | 1 | 48.7 | 54.3 | 12.4 | (0.45) | 0.45 | (0.88) | (0.56) | (0.19) |
| NE | 1 | 39.6 | 46.5 | 15.4 | (0.45) | 0.00 | (0.45) | (0.13) | (0.74) |
| CA | 35 | 69.4 | 77.0 | 17.0 | (0.44) | 0.00 | (1.09) | (0.70) | (0.54) |
| NY | 3 | 60.3 | 65.8 | 12.4 | (0.44) | 0.00 | (0.20) | (0.02) | (0.61) |
| PA | 7 | 55.2 | 63.0 | 17.7 | (0.44) | 0.00 | (0.66) | (0.45) | (0.13) |
| FL | 15 | 47.0 | 53.2 | 14.3 | (0.44) | 0.44 | (1.42) | (0.41) | (0.25) |
| AL | 3 | 36.2 | 42.0 | 13.2 | (0.44) | 0.00 | (0.42) | (0.72) | (0.48) |
| AL | 5 | 38.9 | 44.3 | 12.5 | (0.43) | 0.00 | (0.39) | (0.66) | (0.44) |
| GA | 13 | 76.2 | 83.2 | 16.1 | (0.43) | 0.00 | (1.26) | (0.77) | (0.61) |
| NJ | 2 | 53.9 | 59.7 | 13.7 | (0.42) | 0.00 | (0.76) | (0.10) | (0.58) |
| GA | 10 | 37.1 | 43.5 | 15.6 | (0.41) | 0.00 | (0.36) | (0.88) | (0.50) |
| FL | 22 | 62.0 | 68.8 | 16.8 | (0.40) | 0.00 | (0.59) | 0.36 | (0.53) |
| OH | 5 | 36.1 | 39.2 | 7.9 | (0.39) | 0.00 | (0.31) | (0.53) | (0.41) |
| NJ | 11 | 57.4 | 62.4 | 12.9 | (0.39) | 0.00 | (0.31) | 0.23 | (0.38) |
| NM | 1 | 61.9 | 67.6 | 14.8 | (0.38) | 0.00 | (0.74) | (0.07) | (0.50) |
| TN | 7 | 32.4 | 36.0 | 9.5 | (0.37) | 0.00 | 0.28 | (0.66) | (0.37) |
| IN | 4 | 35.9 | 39.0 | 8.1 | (0.37) | 0.00 | (0.84) | (0.63) | (0.26) |
| NV | 3 | 54.8 | 60.6 | 15.7 | (0.37) | 0.00 | (0.68) | (0.55) | (0.41) |
| OH | 4 | 34.7 | 37.5 | 7.5 | (0.37) | 0.00 | (0.56) | (0.55) | (0.38) |
| IN | 6 | 34.0 | 37.4 | 9.4 | (0.37) | 0.00 | (0.10) | (0.61) | (0.36) |
| CA | 1 | 45.1 | 49.7 | 12.8 | (0.36) | 0.00 | (0.45) | 0.03 | (0.41) |
| WA | 8 | 52.4 | 58.9 | 18.3 | (0.36) | 0.00 | (0.62) | (0.16) | (0.34) |
| CA | 52 | 63.8 | 68.4 | 13.2 | (0.35) | 0.00 | (0.15) | 0.47 | (0.26) |
| OK | 1 | 40.7 | 46.3 | 16.1 | (0.35) | 0.00 | (0.27) | (1.10) | (0.86) |
| CA | 32 | 68.8 | 73.9 | 14.8 | (0.34) | 0.00 | (0.00) | (0.75) | (0.50) |
| CT | 4 | 62.1 | 66.6 | 13.1 | (0.34) | 0.00 | (0.71) | 0.07 | (0.46) |
| NY | 18 | 56.7 | 61.4 | 13.7 | (0.34) | 0.00 | (0.26) | (0.09) | (0.29) |
| GA | 4 | 78.8 | 84.0 | 15.2 | (0.34) | 0.00 | (0.88) | (0.58) | (0.51) |
| NJ | 5 | 56.9 | 61.1 | 12.3 | (0.34) | 0.00 | (0.29) | 0.23 | (0.44) |
| NM | 3 | 67.0 | 71.7 | 14.3 | (0.33) | 0.00 | (1.17) | (0.85) | (0.48) |
| TX | 26 | 39.7 | 44.7 | 15.9 | (0.32) | 0.00 | (0.42) | (0.44) | (0.18) |
| CA | 50 | 48.3 | 53.4 | 16.3 | (0.31) | 0.31 | (1.44) | (0.45) | (0.52) |
| AL | 2 | 38.5 | 44.3 | 18.9 | (0.31) | 0.00 | 0.12 | (0.80) | (0.43) |
| AL | 1 | 36.8 | 40.6 | 13.0 | (0.29) | 0.00 | (0.21) | (0.90) | (0.42) |
| HI | 1 | 76.0 | 79.9 | 13.9 | (0.28) | 0.00 | (0.42) | (0.22) | (0.07) |
| CA | 16 | 57.5 | 62.2 | 16.7 | (0.28) | 0.00 | (0.30) | (0.18) | (0.67) |
| SD | 0 | 37.4 | 40.2 | 10.2 | (0.28) | 0.00 | (0.19) | (0.30) | (0.09) |
| TX | 5 | 37.6 | 41.3 | 13.7 | (0.27) | 0.00 | 0.06 | (0.39) | (0.47) |
| PA | 2 | 79.0 | 83.9 | 18.1 | (0.27) | 0.00 | (0.46) | (0.26) | (0.28) |
| MI | 4 | 37.4 | 39.5 | 8.0 | (0.27) | 0.00 | (0.12) | (0.28) | (0.25) |
| AZ | 2 | 54.7 | 59.0 | 16.1 | (0.26) | 0.00 | (0.50) | (0.31) | (0.17) |
| KY | 4 | 35.7 | 38.1 | 9.3 | (0.26) | 0.00 | (0.35) | (0.62) | (0.16) |
| NY | 4 | 63.4 | 66.7 | 12.8 | (0.25) | 0.00 | (0.37) | 0.32 | (0.56) |
| CA | 17 | 75.3 | 78.9 | 14.5 | (0.24) | 0.00 | (0.58) | (0.27) | (0.24) |
| CA | 4 | 45.9 | 48.5 | 10.9 | (0.24) | 0.00 | (0.33) | 0.16 | (0.43) |
| MI | 10 | 36.7 | 38.7 | 8.0 | (0.24) | 0.00 | (0.13) | (0.47) | (0.18) |
| MD | 6 | 60.8 | 64.6 | 15.9 | (0.24) | 0.00 | (0.58) | 0.05 | (0.15) |
| NE | 2 | 49.0 | 52.9 | 17.0 | (0.23) | 0.23 | (0.09) | (0.43) | (0.32) |
| NJ | 9 | 70.9 | 74.6 | 16.7 | (0.22) | 0.00 | (0.42) | (0.36) | (0.66) |
| ND | 0 | 37.1 | 39.2 | 9.2 | (0.22) | 0.00 | (0.23) | (0.51) | (0.28) |
| GA | 12 | 40.5 | 45.0 | 20.3 | (0.22) | 0.00 | 0.12 | (0.69) | (0.31) |
| VA | 2 | 51.1 | 54.4 | 15.6 | (0.21) | 0.00 | (0.48) | (0.13) | (0.58) |
| IN | 8 | 35.6 | 37.3 | 8.3 | (0.21) | 0.00 | (0.11) | (0.49) | (0.15) |
| CA | 36 | 59.0 | 63.0 | 20.8 | (0.19) | 0.00 | 0.28 | (0.26) | (0.29) |
| MD | 5 | 72.2 | 75.6 | 18.2 | (0.19) | 0.00 | (0.39) | (1.06) | (0.42) |
| FL | 6 | 43.7 | 45.4 | 9.1 | (0.18) | 0.00 | 0.19 | (0.14) | (0.20) |
| WA | 5 | 45.2 | 47.7 | 13.8 | (0.18) | 0.00 | (0.36) | 0.18 | (0.46) |
| CA | 49 | 56.4 | 58.8 | 13.1 | (0.18) | 0.00 | (0.11) | 0.08 | (0.07) |
| VA | 6 | 40.2 | 42.1 | 10.5 | (0.18) | 0.00 | 0.07 | (0.23) | 0.04 |
| NY | 25 | 61.8 | 64.8 | 17.4 | (0.17) | 0.00 | (0.66) | 0.33 | (0.05) |
| NC | 5 | 43.0 | 44.9 | 11.6 | (0.17) | 0.00 | (0.50) | (0.80) | (0.00) |
| TN | 9 | 80.6 | 83.3 | 16.2 | (0.16) | 0.00 | (0.72) | (0.44) | (0.30) |
| CA | 46 | 69.1 | 71.6 | 15.4 | (0.16) | 0.00 | (0.03) | (0.71) | (0.26) |
| TX | 23 | 49.8 | 53.8 | 25.1 | (0.16) | 0.16 | (0.45) | 0.07 | 0.51 |
| CA | 15 | 73.0 | 75.3 | 15.0 | (0.16) | 0.00 | (0.38) | (0.44) | (0.29) |
| NC | 11 | 39.6 | 40.9 | 9.1 | (0.15) | 0.00 | 0.10 | (0.40) | 0.16 |
| NC | 10 | 40.7 | 42.4 | 11.3 | (0.15) | 0.00 | 0.16 | (1.30) | 0.22 |
| IN | 3 | 35.3 | 36.4 | 7.6 | (0.15) | 0.00 | (0.35) | (0.56) | (0.16) |
| MI | 8 | 52.0 | 54.8 | 19.9 | (0.14) | 0.00 | (0.27) | 1.09 | 0.13 |
| SC | 7 | 40.4 | 42.1 | 12.4 | (0.14) | 0.00 | 0.58 | (0.72) | (0.12) |
| NV | 4 | 54.3 | 56.6 | 17.1 | (0.14) | 0.00 | (0.62) | (0.30) | (0.62) |
| MD | 7 | 78.2 | 80.4 | 15.8 | (0.13) | 0.00 | (0.28) | (0.62) | (0.39) |
| CA | 31 | 58.7 | 60.8 | 15.5 | (0.13) | 0.00 | (0.13) | (0.02) | (0.49) |
| RI | 2 | 63.6 | 65.2 | 11.7 | (0.13) | 0.00 | (0.19) | 0.24 | (0.27) |
| TN | 4 | 34.6 | 35.6 | 7.4 | (0.12) | 0.00 | (0.15) | (0.55) | (0.06) |
| NJ | 6 | 63.6 | 65.1 | 12.1 | (0.12) | 0.00 | (0.01) | 0.07 | (0.62) |
| PA | 9 | 40.3 | 41.2 | 8.5 | (0.11) | 0.00 | (0.23) | (0.33) | (0.17) |
| OH | 10 | 43.0 | 44.4 | 12.5 | (0.11) | 0.00 | 0.09 | (0.28) | (0.12) |
| NY | 23 | 46.8 | 47.9 | 10.0 | (0.11) | 0.00 | (0.76) | 0.23 | (0.32) |
| TX | 14 | 39.9 | 41.5 | 15.0 | (0.11) | 0.00 | 0.18 | (0.28) | (0.25) |
| CA | 19 | 73.8 | 75.3 | 14.9 | (0.10) | 0.00 | (0.03) | (0.39) | (0.22) |
| VA | 1 | 44.8 | 46.2 | 14.2 | (0.10) | 0.00 | (0.43) | (0.22) | (0.20) |
| TX | 10 | 47.8 | 49.3 | 16.0 | (0.09) | 0.00 | (0.63) | (0.49) | (0.29) |
| KS | 4 | 40.6 | 41.7 | 13.4 | (0.08) | 0.00 | 0.23 | (0.15) | (0.45) |
| HI | 2 | 77.4 | 78.6 | 14.4 | (0.08) | 0.00 | (0.23) | (0.13) | (0.10) |
| MO | 2 | 48.0 | 49.1 | 14.2 | (0.08) | 0.00 | (0.34) | 0.75 | (0.18) |
| CA | 41 | 65.1 | 66.3 | 17.5 | (0.07) | 0.00 | 0.11 | (1.00) | (0.28) |
| CA | 3 | 58.1 | 59.1 | 15.1 | (0.07) | 0.00 | (0.44) | 0.04 | (0.29) |
| NY | 24 | 50.5 | 51.1 | 10.4 | (0.06) | 0.00 | (0.15) | (0.24) | (0.02) |
| GA | 1 | 42.3 | 43.4 | 18.6 | (0.06) | 0.00 | 0.08 | (0.60) | (0.14) |
| MI | 11 | 53.4 | 54.1 | 13.5 | (0.05) | 0.00 | (0.80) | (0.14) | (0.04) |
| AZ | 8 | 44.5 | 44.9 | 8.1 | (0.05) | 0.00 | (0.59) | 0.02 | (0.28) |
| WV | 3 | 43.6 | 44.2 | 12.9 | (0.04) | 0.00 | 0.39 | (0.77) | (0.38) |
| IL | 2 | 81.1 | 81.6 | 16.9 | (0.03) | 0.00 | (0.73) | (0.41) | (0.19) |
| VA | 11 | 72.5 | 72.9 | 13.6 | (0.03) | 0.00 | (0.82) | (0.47) | (0.22) |
| UT | 4 | 50.1 | 50.7 | 23.3 | (0.03) | 0.00 | (0.25) | 0.08 | 0.95 |
| CA | 24 | 58.6 | 58.9 | 12.9 | (0.03) | 0.00 | (0.05) | 0.20 | 0.10 |
| NC | 9 | 49.8 | 50.2 | 14.3 | (0.02) | 0.02 | (0.46) | (0.22) | (0.41) |
| PA | 10 | 48.7 | 48.9 | 10.2 | (0.02) | 0.00 | (0.31) | (0.30) | (0.07) |
| ID | 2 | 39.3 | 39.5 | 11.2 | (0.02) | 0.00 | (0.15) | (0.44) | 0.12 |
| MN | 6 | 38.8 | 39.0 | 9.3 | (0.02) | 0.00 | (0.06) | (0.36) | (0.06) |
| VA | 4 | 63.5 | 64.0 | 23.4 | (0.02) | 0.00 | (1.04) | 0.54 | (0.16) |
| IL | 8 | 66.0 | 66.2 | 15.6 | (0.01) | 0.00 | 0.01 | 0.22 | 0.12 |
| MI | 14 | 82.4 | 82.6 | 15.8 | (0.01) | 0.00 | (0.33) | (0.32) | (0.18) |
| AZ | 5 | 40.6 | 40.7 | 11.7 | (0.01) | 0.00 | 1.01 | (0.23) | 0.18 |
| IL | 1 | 78.8 | 78.9 | 18.3 | (0.01) | 0.00 | (0.42) | (0.58) | (0.15) |
| CT | 3 | 63.0 | 63.1 | 13.5 | (0.00) | 0.00 | (0.10) | 0.89 | (0.05) |
| CO | 4 | 39.4 | 39.4 | 10.1 | 0.00 | 0.00 | (0.13) | (0.43) | 0.13 |
| IL | 16 | 40.9 | 40.8 | 11.7 | 0.00 | 0.00 | 0.00 | (0.01) | (0.25) |
| NC | 6 | 43.5 | 43.4 | 11.9 | 0.01 | 0.00 | 0.16 | (0.75) | 0.18 |
| CT | 1 | 63.4 | 63.3 | 13.8 | 0.01 | 0.00 | (0.18) | 0.88 | (0.09) |
| OH | 14 | 44.8 | 44.6 | 10.0 | 0.01 | 0.00 | (0.58) | 0.11 | (0.05) |
| NJ | 12 | 68.7 | 68.4 | 13.0 | 0.02 | 0.00 | 0.21 | 0.43 | (0.50) |
| KY | 6 | 48.4 | 47.7 | 19.3 | 0.04 | 0.00 | (0.65) | 0.35 | 0.54 |
| SC | 2 | 43.0 | 42.4 | 16.6 | 0.04 | 0.00 | 0.22 | (0.55) | (0.12) |
| IL | 10 | 65.6 | 65.0 | 12.1 | 0.05 | 0.00 | (0.21) | 0.82 | 0.28 |
| WI | 7 | 39.0 | 38.6 | 9.2 | 0.05 | 0.00 | 0.64 | (0.30) | (0.06) |
| CA | 11 | 74.1 | 73.1 | 16.1 | 0.06 | 0.00 | (0.33) | (0.35) | 0.05 |
| PA | 6 | 58.9 | 58.0 | 13.1 | 0.06 | 0.00 | (0.52) | 0.11 | 0.08 |
| SC | 6 | 71.3 | 69.8 | 22.1 | 0.07 | 0.00 | (0.29) | 0.96 | (0.11) |
| NC | 7 | 43.5 | 42.6 | 11.5 | 0.08 | 0.00 | (0.02) | (0.87) | 0.24 |
| TX | 27 | 37.8 | 36.7 | 13.2 | 0.08 | 0.00 | 0.37 | (0.37) | (0.50) |
| PA | 11 | 41.0 | 40.3 | 8.7 | 0.09 | 0.00 | (0.09) | 0.01 | (0.34) |
| IN | 5 | 43.2 | 42.1 | 12.5 | 0.09 | 0.00 | (0.34) | 0.21 | 0.23 |
| FL | 16 | 45.4 | 44.6 | 9.0 | 0.09 | 0.00 | 0.49 | (0.00) | 0.17 |
| PA | 14 | 42.1 | 41.2 | 9.1 | 0.10 | 0.00 | 0.36 | (0.19) | 0.27 |
| TX | 15 | 60.6 | 57.9 | 25.5 | 0.11 | 0.00 | 0.03 | 0.58 | 0.62 |
| MD | 8 | 69.3 | 67.8 | 13.4 | 0.11 | 0.00 | (0.14) | 0.43 | (0.01) |
| VA | 5 | 46.7 | 45.0 | 14.7 | 0.11 | 0.00 | 0.99 | (0.48) | 0.20 |
| CA | 14 | 79.2 | 77.5 | 14.9 | 0.12 | 0.00 | (0.28) | 0.01 | 0.04 |
| RI | 1 | 66.9 | 65.5 | 11.5 | 0.12 | 0.00 | 0.29 | 0.33 | (0.39) |
| NJ | 10 | 89.7 | 88.0 | 12.9 | 0.13 | 0.00 | (0.51) | 0.17 | 0.15 |
| TX | 6 | 46.1 | 44.3 | 14.0 | 0.13 | 0.00 | 0.69 | (0.83) | 0.10 |
| AZ | 1 | 53.8 | 51.5 | 17.9 | 0.13 | 0.00 | 0.05 | (0.22) | (0.33) |
| OH | 11 | 82.2 | 79.9 | 17.0 | 0.14 | 0.00 | (0.30) | (0.32) | (0.03) |
| SC | 5 | 42.1 | 40.2 | 13.5 | 0.14 | 0.00 | 0.54 | (0.61) | (0.03) |
| TX | 31 | 48.5 | 45.9 | 18.3 | 0.14 | 0.00 | 0.27 | (0.50) | 0.65 |
| CA | 10 | 52.3 | 49.7 | 17.9 | 0.14 | 0.14 | (0.40) | (0.24) | (0.35) |
| NM | 2 | 50.9 | 48.1 | 19.3 | 0.15 | 0.15 | (0.69) | (0.30) | (0.44) |
| NJ | 3 | 50.7 | 49.1 | 10.1 | 0.15 | 0.15 | 0.13 | (0.31) | 0.02 |
| TX | 21 | 48.7 | 46.1 | 15.9 | 0.16 | 0.00 | 0.39 | 0.39 | (0.15) |
| CA | 33 | 70.0 | 67.9 | 12.9 | 0.17 | 0.00 | 0.49 | 0.89 | 0.15 |
| MO | 1 | 82.7 | 79.7 | 18.2 | 0.17 | 0.00 | (0.63) | (0.28) | 0.03 |
| CA | 30 | 73.4 | 70.8 | 15.5 | 0.17 | 0.00 | (0.27) | (0.37) | 0.19 |
| CA | 18 | 74.5 | 72.1 | 14.1 | 0.17 | 0.00 | 0.63 | (0.32) | 0.05 |
| VA | 8 | 76.3 | 73.8 | 14.2 | 0.17 | 0.00 | (0.58) | 0.68 | 0.16 |
| NC | 8 | 44.7 | 42.1 | 14.2 | 0.18 | 0.00 | 0.14 | (0.25) | 0.14 |
| FL | 5 | 66.8 | 62.4 | 23.4 | 0.19 | 0.00 | (0.77) | 0.72 | (0.02) |
| OH | 15 | 40.5 | 38.8 | 8.7 | 0.19 | 0.00 | 0.10 | (0.23) | 0.34 |
| WA | 1 | 59.3 | 55.7 | 17.9 | 0.20 | 0.00 | (0.09) | 1.72 | 0.21 |
| OR | 2 | 41.2 | 39.0 | 10.9 | 0.20 | 0.00 | (0.04) | 0.08 | 0.29 |
| TX | 34 | 60.0 | 54.8 | 25.8 | 0.20 | 0.00 | (0.12) | 0.55 | 0.67 |
| NY | 19 | 54.7 | 52.7 | 9.7 | 0.21 | 0.00 | (0.33) | (0.49) | 0.17 |
| OH | 16 | 43.3 | 41.4 | 9.0 | 0.21 | 0.00 | (0.00) | 0.30 | 0.16 |
| NC | 12 | 73.1 | 68.0 | 22.7 | 0.22 | 0.00 | (0.39) | 1.05 | 0.12 |
| WV | 2 | 44.3 | 41.9 | 11.2 | 0.22 | 0.00 | 0.40 | 0.05 | (0.29) |
| TX | 18 | 78.3 | 73.8 | 20.3 | 0.22 | 0.00 | (0.73) | 1.17 | 0.29 |
| NY | 14 | 85.2 | 81.2 | 17.3 | 0.23 | 0.00 | 0.57 | 0.31 | 0.38 |
| MN | 3 | 55.7 | 52.8 | 12.0 | 0.24 | 0.00 | (0.22) | (0.14) | 0.13 |
| IL | 14 | 52.5 | 48.8 | 15.0 | 0.25 | 0.25 | 0.35 | 1.08 | 0.12 |
| MI | 1 | 43.7 | 41.4 | 9.0 | 0.25 | 0.00 | 0.80 | (0.07) | 0.22 |
| NY | 21 | 44.5 | 42.0 | 10.0 | 0.25 | 0.00 | 0.02 | 0.39 | (0.16) |
| MA | 3 | 65.0 | 61.3 | 14.5 | 0.25 | 0.00 | 0.22 | 1.09 | 0.49 |
| IL | 12 | 46.8 | 43.7 | 12.3 | 0.26 | 0.00 | 0.22 | (0.48) | 0.30 |
| WI | 4 | 77.8 | 72.8 | 19.0 | 0.26 | 0.00 | (0.01) | 1.28 | 0.06 |
| IL | 13 | 49.6 | 46.7 | 11.0 | 0.26 | 0.00 | (0.28) | 0.21 | 0.16 |
| CO | 3 | 45.8 | 43.3 | 9.6 | 0.27 | 0.00 | 0.30 | 0.23 | (0.22) |
| NJ | 8 | 80.7 | 75.5 | 19.5 | 0.27 | 0.00 | 0.45 | 0.12 | 0.07 |
| NC | 1 | 69.8 | 63.6 | 22.5 | 0.28 | 0.00 | (0.33) | 0.89 | 0.10 |
| MI | 3 | 44.2 | 40.7 | 11.9 | 0.30 | 0.00 | 0.48 | 0.10 | 0.15 |
| MI | 12 | 70.2 | 64.1 | 20.3 | 0.30 | 0.00 | (0.25) | 1.08 | 0.57 |
| WI | 1 | 43.7 | 40.6 | 10.1 | 0.30 | 0.00 | 0.35 | 0.14 | (0.05) |
| NY | 9 | 89.9 | 86.0 | 13.0 | 0.31 | 0.00 | (0.25) | 0.23 | 0.20 |
| OH | 1 | 47.8 | 43.6 | 13.7 | 0.31 | 0.00 | 0.10 | 0.09 | 0.31 |
| CT | 2 | 62.1 | 58.3 | 12.3 | 0.31 | 0.00 | (0.16) | 0.68 | 0.31 |
| TX | 25 | 45.6 | 41.3 | 13.3 | 0.32 | 0.00 | 0.61 | 0.13 | 0.13 |
| CO | 2 | 64.2 | 57.2 | 21.9 | 0.32 | 0.00 | 0.15 | 2.17 | 1.29 |
| MN | 4 | 68.9 | 63.9 | 15.4 | 0.33 | 0.00 | (0.38) | 0.66 | 0.47 |
| OK | 5 | 50.7 | 45.1 | 16.7 | 0.33 | 0.33 | 0.43 | (0.34) | 0.06 |
| WA | 3 | 47.3 | 43.9 | 9.6 | 0.36 | 0.00 | 0.13 | 0.37 | 0.07 |
| NY | 22 | 51.3 | 47.9 | 9.4 | 0.36 | 0.36 | (0.26) | 0.54 | 0.03 |
| NC | 13 | 46.9 | 42.3 | 12.6 | 0.37 | 0.00 | 0.85 | (0.44) | 0.32 |
| IL | 11 | 63.8 | 57.0 | 18.1 | 0.38 | 0.00 | 0.35 | 0.39 | 0.12 |
| IL | 7 | 87.6 | 81.9 | 14.5 | 0.39 | 0.00 | (0.18) | 0.06 | 0.23 |
| NC | 2 | 47.2 | 41.4 | 14.6 | 0.40 | 0.00 | 0.45 | 0.12 | 0.45 |
| CA | 37 | 89.1 | 83.0 | 15.0 | 0.41 | 0.00 | (0.18) | 0.72 | 0.44 |
| NJ | 1 | 65.9 | 59.5 | 15.8 | 0.41 | 0.00 | (0.04) | 0.54 | 0.24 |
| OH | 2 | 41.7 | 37.2 | 10.6 | 0.43 | 0.00 | 0.57 | (0.01) | 0.33 |
| CO | 6 | 55.8 | 49.6 | 14.4 | 0.43 | 0.43 | 0.27 | (0.03) | 0.10 |
| AR | 2 | 46.8 | 41.1 | 13.0 | 0.44 | 0.00 | 0.10 | (0.03) | 0.45 |
| PA | 16 | 47.8 | 43.8 | 9.0 | 0.45 | 0.00 | 0.56 | 0.24 | (0.05) |
| IL | 9 | 73.5 | 67.5 | 12.8 | 0.47 | 0.00 | 0.93 | 1.17 | 0.44 |
| NY | 26 | 71.9 | 62.5 | 19.7 | 0.47 | 0.00 | (0.00) | 0.90 | 0.62 |
| PA | 4 | 63.5 | 56.8 | 14.2 | 0.48 | 0.00 | 0.59 | 0.49 | 0.45 |
| WA | 10 | 61.5 | 53.4 | 17.1 | 0.48 | 0.00 | 1.15 | 0.34 | 0.26 |
| IN | 9 | 43.5 | 39.1 | 9.1 | 0.48 | 0.00 | 0.97 | 0.06 | 0.74 |
| VA | 7 | 51.0 | 44.3 | 13.6 | 0.49 | 0.49 | 0.48 | 0.05 | 0.41 |
| WA | 6 | 63.9 | 53.9 | 20.0 | 0.50 | 0.00 | 0.05 | 1.50 | 0.70 |
| NY | 20 | 64.4 | 57.9 | 12.8 | 0.51 | 0.00 | 0.30 | 0.45 | 0.49 |
| OH | 7 | 41.3 | 37.1 | 8.2 | 0.51 | 0.00 | 0.49 | 0.03 | 0.62 |
| MD | 3 | 71.0 | 61.6 | 18.5 | 0.51 | 0.00 | 0.23 | 0.96 | 0.01 |
| PA | 8 | 54.6 | 50.1 | 8.9 | 0.51 | 0.00 | (0.33) | 0.43 | 0.28 |
| CA | 53 | 69.1 | 61.9 | 13.8 | 0.52 | 0.00 | 0.16 | 0.60 | 0.44 |
| PA | 5 | 65.2 | 55.5 | 18.4 | 0.52 | 0.00 | 0.70 | 0.64 | 0.33 |
| CA | 29 | 80.6 | 72.8 | 14.3 | 0.55 | 0.00 | 0.78 | 0.11 | 0.58 |
| SC | 1 | 50.7 | 43.0 | 14.1 | 0.55 | 0.55 | 0.36 | (0.15) | 0.60 |
| MN | 1 | 49.8 | 43.5 | 11.1 | 0.56 | 0.00 | 0.61 | 0.77 | (0.12) |
| OH | 12 | 47.9 | 41.1 | 12.1 | 0.56 | 0.00 | 1.73 | 0.41 | 1.05 |
| CA | 26 | 61.9 | 53.4 | 14.9 | 0.57 | 0.00 | 1.04 | 0.35 | 0.35 |
| IL | 4 | 86.6 | 77.1 | 16.5 | 0.58 | 0.00 | (0.39) | 0.54 | 0.63 |
| MN | 8 | 47.1 | 42.2 | 8.4 | 0.59 | 0.00 | 0.59 | 0.54 | 0.22 |
| AZ | 9 | 61.1 | 51.6 | 16.1 | 0.59 | 0.00 | 0.79 | 0.28 | 0.26 |
| KS | 3 | 55.0 | 46.2 | 14.8 | 0.59 | 0.59 | 0.45 | (0.06) | 0.40 |
| IN | 2 | 45.2 | 38.5 | 11.0 | 0.60 | 0.00 | 1.00 | 0.16 | 0.25 |
| KS | 2 | 49.6 | 42.3 | 11.9 | 0.61 | 0.00 | 0.35 | 0.55 | (0.01) |
| MI | 2 | 43.7 | 38.0 | 9.4 | 0.61 | 0.00 | 0.51 | 0.05 | 0.27 |
| NH | 2 | 56.8 | 50.3 | 10.5 | 0.62 | 0.00 | 0.18 | 0.95 | 0.42 |
| PA | 3 | 93.4 | 84.6 | 13.6 | 0.64 | 0.00 | 0.64 | 0.49 | 0.57 |
| MA | 2 | 67.2 | 58.6 | 13.0 | 0.66 | 0.00 | 0.19 | 1.38 | 0.66 |
| NH | 1 | 54.3 | 47.1 | 10.9 | 0.66 | 0.66 | 0.53 | 1.44 | 0.21 |
| MI | 6 | 47.6 | 39.8 | 11.6 | 0.67 | 0.00 | 0.71 | 0.72 | 0.45 |
| MN | 2 | 52.8 | 44.3 | 12.3 | 0.69 | 0.69 | 0.88 | 0.63 | 0.09 |
| MA | 6 | 67.5 | 57.9 | 13.8 | 0.70 | 0.00 | 0.12 | 0.45 | 0.54 |
| FL | 13 | 57.6 | 49.7 | 11.3 | 0.70 | 0.70 | 3.04 | 0.64 | 0.26 |
| CA | 28 | 78.4 | 68.4 | 14.0 | 0.71 | 0.00 | 0.32 | 1.36 | 0.59 |
| MD | 2 | 68.3 | 52.6 | 20.7 | 0.75 | 0.00 | 0.27 | 0.82 | 0.46 |
| CA | 12 | 86.8 | 75.9 | 14.4 | 0.76 | 0.00 | 0.55 | 0.56 | 0.69 |
| WI | 6 | 44.5 | 37.7 | 8.8 | 0.77 | 0.00 | 1.00 | 0.40 | 0.67 |
| NY | 13 | 94.7 | 80.0 | 19.2 | 0.77 | 0.00 | 1.09 | 0.75 | 0.64 |
| NY | 10 | 82.8 | 72.8 | 12.8 | 0.78 | 0.00 | 0.13 | 1.54 | 0.86 |
| TX | 29 | 75.8 | 61.0 | 18.4 | 0.81 | 0.00 | 1.02 | 1.09 | 0.84 |
| NY | 15 | 96.4 | 80.1 | 19.7 | 0.83 | 0.00 | 1.11 | 0.79 | 0.60 |
| FL | 24 | 100.0 | 88.2 | 13.8 | 0.86 | 0.00 | 0.80 | 0.87 | 0.95 |
| IL | 5 | 76.7 | 64.6 | 13.4 | 0.90 | 0.00 | 0.82 | 1.07 | 1.03 |
| MA | 5 | 75.9 | 64.1 | 13.0 | 0.92 | 0.00 | 2.66 | 1.10 | 1.04 |
| CA | 51 | 71.2 | 57.2 | 14.8 | 0.95 | 0.00 | 1.17 | 0.69 | 0.62 |
| TX | 35 | 73.2 | 50.7 | 23.3 | 0.97 | 0.00 | 0.53 | 0.95 | 1.93 |
| TX | 16 | 71.7 | 53.4 | 18.9 | 0.97 | 0.00 | 0.57 | 0.82 | 1.14 |
| ME | 2 | 50.5 | 41.9 | 8.7 | 0.99 | 0.99 | 2.25 | 0.45 | 0.39 |
| NY | 5 | 100.0 | 87.8 | 12.0 | 1.01 | 0.00 | 1.02 | 0.95 | 0.92 |
| IL | 3 | 73.8 | 54.9 | 18.2 | 1.04 | 0.00 | 0.90 | 0.99 | 0.74 |
| NY | 8 | 100.0 | 87.1 | 12.2 | 1.06 | 0.00 | 1.14 | 0.97 | 1.07 |
| MA | 9 | 59.4 | 50.1 | 8.8 | 1.06 | 0.00 | 0.46 | 1.20 | 0.52 |
| MT | 0 | 47.6 | 38.0 | 9.0 | 1.07 | 0.00 | 1.29 | (0.05) | 1.09 |
| FL | 20 | 100.0 | 84.4 | 14.5 | 1.08 | 0.00 | 0.96 | 0.94 | 1.15 |
| NY | 27 | 52.8 | 42.7 | 9.3 | 1.09 | 1.09 | 1.00 | 0.64 | 1.14 |
| AZ | 3 | 63.9 | 45.9 | 16.4 | 1.10 | 1.10 | 1.02 | 0.65 | 0.43 |
| MI | 7 | 46.2 | 38.0 | 7.4 | 1.10 | 0.00 | 2.13 | 0.39 | 1.10 |
| TX | 33 | 77.7 | 60.4 | 15.6 | 1.11 | 0.00 | 1.48 | 1.06 | 0.87 |
| IA | 4 | 48.3 | 37.4 | 9.8 | 1.11 | 0.00 | 1.16 | 0.64 | 1.07 |
| OR | 1 | 66.5 | 49.8 | 14.9 | 1.12 | 1.12 | 2.87 | 2.20 | 1.37 |
| GA | 5 | 100.0 | 83.2 | 14.7 | 1.14 | 0.00 | 1.93 | 0.99 | 1.11 |
| MS | 2 | 100.0 | 80.7 | 16.8 | 1.15 | 0.00 | 1.73 | 0.99 | 1.12 |
| NY | 16 | 100.0 | 81.9 | 15.6 | 1.16 | 0.00 | 1.14 | 0.96 | 1.08 |
| NY | 12 | 87.1 | 72.9 | 12.2 | 1.16 | 0.00 | 0.57 | 1.89 | 1.20 |
| LA | 2 | 100.0 | 78.9 | 18.1 | 1.17 | 0.00 | 1.50 | 0.99 | 1.13 |
| CO | 1 | 76.2 | 54.3 | 18.2 | 1.20 | 0.00 | 2.38 | 1.18 | 1.57 |
| NC | 4 | 75.1 | 56.2 | 15.6 | 1.21 | 0.00 | 1.72 | 1.10 | 1.06 |
| TX | 9 | 100.0 | 83.8 | 13.3 | 1.22 | 0.00 | 1.54 | 0.97 | 1.12 |
| MI | 13 | 100.0 | 78.4 | 17.7 | 1.22 | 0.00 | 1.45 | 1.00 | 1.20 |
| MN | 5 | 78.2 | 60.4 | 14.5 | 1.23 | 0.00 | 2.60 | 1.12 | 1.04 |
| PA | 17 | 56.3 | 45.2 | 9.0 | 1.24 | 1.24 | 1.03 | 0.86 | 0.57 |
| IN | 1 | 65.1 | 46.7 | 14.9 | 1.24 | 1.24 | 1.33 | 0.50 | 1.01 |
| AL | 7 | 100.0 | 78.0 | 17.7 | 1.24 | 0.00 | 1.58 | 1.00 | 1.20 |
| MN | 7 | 52.1 | 41.6 | 8.2 | 1.29 | 1.29 | 1.65 | 1.15 | 0.29 |
| NY | 7 | 100.0 | 80.9 | 14.8 | 1.29 | 0.00 | 1.21 | 0.99 | 1.25 |
| FL | 10 | 100.0 | 76.7 | 18.0 | 1.29 | 0.00 | 1.08 | 0.91 | 1.59 |
| TX | 30 | 100.0 | 71.6 | 21.7 | 1.31 | 0.00 | 2.10 | 0.99 | 1.39 |
| CA | 44 | 100.0 | 80.1 | 15.0 | 1.33 | 0.00 | 1.00 | 1.54 | 1.21 |
| KY | 3 | 62.9 | 44.2 | 13.9 | 1.35 | 1.35 | 2.29 | 0.66 | 1.26 |
| CA | 34 | 100.0 | 80.5 | 14.2 | 1.37 | 0.00 | 1.02 | 1.53 | 1.29 |
| TN | 5 | 67.8 | 47.4 | 14.9 | 1.37 | 1.37 | 0.92 | 0.78 | 1.18 |
| VA | 3 | 100.0 | 70.3 | 20.8 | 1.43 | 0.00 | 3.06 | 0.99 | 1.34 |
| IN | 7 | 64.9 | 42.1 | 15.8 | 1.44 | 1.44 | 1.87 | 0.62 | 1.43 |
| CA | 13 | 100.0 | 79.9 | 13.7 | 1.46 | 0.00 | 1.01 | 1.55 | 1.17 |
| OH | 13 | 61.0 | 45.5 | 10.6 | 1.47 | 1.47 | 1.50 | 0.71 | 1.49 |
| CA | 2 | 77.0 | 57.6 | 12.9 | 1.50 | 0.00 | 1.41 | 1.69 | 1.55 |
| IA | 3 | 51.1 | 37.5 | 9.0 | 1.52 | 1.52 | 1.87 | 0.13 | 1.51 |
| CA | 40 | 100.0 | 76.5 | 15.4 | 1.53 | 0.00 | 1.21 | 1.55 | 2.04 |
| CO | 7 | 63.0 | 41.8 | 13.9 | 1.53 | 1.53 | 1.86 | 0.71 | 1.33 |
| MI | 9 | 61.8 | 44.0 | 11.6 | 1.54 | 1.54 | 1.96 | 0.36 | 1.64 |
| OH | 3 | 73.6 | 44.1 | 19.0 | 1.56 | 1.56 | 2.31 | 1.10 | 1.70 |
| OH | 9 | 67.8 | 46.3 | 13.7 | 1.57 | 1.57 | 1.84 | 0.94 | 1.45 |
| OR | 5 | 56.8 | 41.5 | 9.7 | 1.58 | 1.58 | 3.05 | 1.23 | 1.72 |
| MA | 7 | 100.0 | 75.5 | 15.1 | 1.62 | 0.00 | 1.87 | 2.31 | 1.47 |
| MI | 5 | 62.4 | 42.8 | 11.6 | 1.69 | 1.69 | 1.59 | 0.60 | 1.77 |
| FL | 14 | 100.0 | 71.0 | 17.0 | 1.70 | 0.00 | 1.33 | 0.97 | 1.90 |
| IA | 1 | 52.6 | 37.1 | 9.1 | 1.70 | 1.70 | 1.82 | 1.15 | 1.77 |
| MO | 5 | 63.4 | 40.6 | 13.3 | 1.72 | 1.72 | 1.47 | 1.03 | 1.69 |
| NY | 6 | 100.0 | 77.6 | 13.0 | 1.72 | 0.00 | 2.02 | 0.99 | 1.35 |
| WA | 7 | 83.6 | 64.2 | 10.8 | 1.80 | 0.00 | 1.90 | 1.49 | 1.90 |
| VT | 0 | 72.7 | 50.2 | 12.4 | 1.82 | 0.00 | 2.83 | 2.15 | 1.02 |
| CA | 27 | 100.0 | 76.2 | 13.0 | 1.84 | 0.00 | 2.51 | 1.55 | 1.48 |
| OR | 3 | 78.6 | 50.2 | 15.4 | 1.84 | 0.00 | 3.87 | 2.66 | 1.76 |
| IL | 17 | 62.1 | 41.9 | 10.6 | 1.90 | 1.90 | 2.65 | 1.29 | 1.26 |
| CA | 6 | 100.0 | 69.3 | 15.6 | 1.97 | 0.00 | 1.69 | 1.57 | 2.34 |
| WA | 9 | 100.0 | 68.7 | 15.3 | 2.04 | 0.00 | 1.73 | 1.60 | 2.47 |
| OR | 4 | 57.8 | 39.8 | 8.7 | 2.06 | 2.06 | 1.69 | 1.74 | 1.87 |
| ME | 1 | 64.4 | 45.7 | 8.4 | 2.22 | 2.22 | 2.64 | 1.47 | 1.27 |
| AZ | 7 | 100.0 | 54.7 | 19.9 | 2.28 | 0.00 | 2.73 | 2.70 | 3.27 |
| CA | 20 | 100.0 | 65.6 | 14.9 | 2.30 | 0.00 | 5.09 | 1.59 | 2.62 |
| DE | 0 | 64.5 | 41.0 | 10.1 | 2.33 | 2.33 | 3.19 | 0.62 | 2.18 |
| IA | 2 | 56.3 | 36.8 | 8.3 | 2.35 | 2.35 | 3.40 | 0.87 | 2.17 |
| TX | 20 | 100.0 | 51.9 | 20.4 | 2.36 | 0.00 | 1.98 | 2.89 | 3.52 |
| TX | 28 | 100.0 | 50.8 | 20.3 | 2.43 | 0.00 | 2.22 | 2.90 | 4.38 |
| CA | 5 | 100.0 | 65.0 | 13.4 | 2.61 | 0.00 | 4.17 | 3.56 | 2.94 |
| PA | 18 | 100.0 | 55.9 | 16.6 | 2.65 | 0.00 | 2.49 | 2.83 | 3.02 |
| WI | 3 | 59.7 | 38.9 | 7.5 | 2.78 | 2.78 | 2.73 | 1.22 | 2.43 |
| MA | 8 | 100.0 | 61.5 | 12.3 | 3.14 | 0.00 | 3.09 | 2.61 | 2.99 |
| FL | 21 | 100.0 | 60.0 | 11.2 | 3.57 | 0.00 | 5.03 | 2.63 | 2.91 |
| NY | 17 | 100.0 | 63.0 | 9.5 | 3.90 | 0.00 | 5.36 | 3.03 | 2.95 |
| MA | 4 | 100.0 | 56.7 | 10.8 | 4.02 | 0.00 | 5.29 | 2.77 | 2.63 |
| MA | 1 | 100.0 | 57.1 | 9.5 | 4.50 | 0.00 | 6.40 | 2.64 | 2.87 |
| WA | 2 | 100.0 | 51.2 | 10.7 | 4.55 | 0.00 | 4.93 | 4.84 | 2.60 |
| WI | 2 | 100.0 | 47.7 | 10.5 | 4.98 | 4.98 | 5.02 | 5.40 | 3.56 |
| State | District | Cluster | % WWC | % Non-White | % Under 45 | 2018 D Vote Share | 2016 D Vote Share |
|---|---|---|---|---|---|---|---|
| AK | 0 | (2,0) | 10.0 | 80.0 | 80.0 | 46.7 | 41.7 |
| AL | 1 | (0,2) | 10.0 | 80.0 | 80.0 | 36.8 | 0.0 |
| AL | 2 | (0,2) | 10.0 | 80.0 | 80.0 | 38.5 | 45.4 |
| AL | 3 | (1,1) | 10.0 | 80.0 | 80.0 | 36.2 | 33.0 |
| AL | 4 | (2,2) | 10.0 | 80.0 | 80.0 | 20.1 | 0.0 |
| AL | 5 | (1,1) | 10.0 | 80.0 | 80.0 | 38.9 | 33.2 |
| AL | 6 | (1,1) | 10.0 | 80.0 | 80.0 | 30.8 | 25.4 |
| AL | 7 | (1,0) | 10.0 | 80.0 | 80.0 | 100.0 | 100.0 |
| AR | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 29.4 | 0.0 |
| AR | 2 | (1,1) | 10.0 | 80.0 | 80.0 | 46.8 | 38.7 |
| AR | 3 | (2,2) | 10.0 | 80.0 | 80.0 | 33.5 | 0.0 |
| AR | 4 | (1,1) | 10.0 | 80.0 | 80.0 | 31.9 | 0.0 |
| AZ | 1 | (2,0) | 10.0 | 80.0 | 80.0 | 53.8 | 53.9 |
| AZ | 2 | (1,1) | 10.0 | 80.0 | 80.0 | 54.7 | 43.0 |
| AZ | 3 | (2,0) | 10.0 | 80.0 | 80.0 | 63.9 | 99.8 |
| AZ | 4 | (2,2) | 10.0 | 80.0 | 80.0 | 30.9 | 28.5 |
| AZ | 5 | (2,2) | 10.0 | 80.0 | 80.0 | 40.6 | 35.9 |
| AZ | 6 | (2,2) | 10.0 | 80.0 | 80.0 | 44.8 | 37.9 |
| AZ | 7 | (2,0) | 10.0 | 80.0 | 80.0 | 100.0 | 75.3 |
| AZ | 8 | (2,2) | 10.0 | 80.0 | 80.0 | 44.5 | 0.0 |
| AZ | 9 | (2,0) | 10.0 | 80.0 | 80.0 | 61.1 | 60.9 |
| CA | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 45.1 | 40.9 |
| CA | 2 | (1,1) | 10.0 | 80.0 | 80.0 | 77.0 | 76.9 |
| CA | 3 | (2,0) | 10.0 | 80.0 | 80.0 | 58.1 | 59.4 |
| CA | 4 | (2,2) | 10.0 | 80.0 | 80.0 | 45.9 | 37.3 |
| CA | 5 | (1,1) | 10.0 | 80.0 | 80.0 | 100.0 | 76.9 |
| CA | 6 | (1,2) | 10.0 | 80.0 | 80.0 | 100.0 | 75.4 |
| CA | 7 | (1,1) | 10.0 | 80.0 | 80.0 | 55.0 | 51.2 |
| CA | 8 | (2,0) | 10.0 | 80.0 | 80.0 | 0.0 | 37.7 |
| CA | 9 | (2,0) | 10.0 | 80.0 | 80.0 | 56.5 | 57.4 |
| CA | 10 | (2,0) | 10.0 | 80.0 | 80.0 | 52.3 | 48.3 |
| CA | 11 | (1,2) | 10.0 | 80.0 | 80.0 | 74.1 | 72.1 |
| CA | 12 | (1,2) | 10.0 | 80.0 | 80.0 | 86.8 | 100.0 |
| CA | 13 | (1,2) | 10.0 | 80.0 | 80.0 | 100.0 | 90.8 |
| CA | 14 | (1,2) | 10.0 | 80.0 | 80.0 | 79.2 | 80.9 |
| CA | 15 | (1,2) | 10.0 | 80.0 | 80.0 | 73.0 | 73.8 |
| CA | 16 | (2,0) | 10.0 | 80.0 | 80.0 | 57.5 | 58.0 |
| CA | 17 | (1,2) | 10.0 | 80.0 | 80.0 | 75.3 | 100.0 |
| CA | 18 | (1,2) | 10.0 | 80.0 | 80.0 | 74.5 | 71.1 |
| CA | 19 | (1,2) | 10.0 | 80.0 | 80.0 | 73.8 | 73.9 |
| CA | 20 | (1,2) | 10.0 | 80.0 | 80.0 | 100.0 | 70.8 |
| CA | 21 | (2,0) | 10.0 | 80.0 | 80.0 | 50.4 | 43.3 |
| CA | 22 | (2,0) | 10.0 | 80.0 | 80.0 | 47.3 | 32.4 |
| CA | 23 | (2,0) | 10.0 | 80.0 | 80.0 | 36.3 | 30.8 |
| CA | 24 | (2,0) | 10.0 | 80.0 | 80.0 | 58.6 | 53.4 |
| CA | 25 | (2,0) | 10.0 | 80.0 | 80.0 | 54.4 | 46.9 |
| CA | 26 | (2,0) | 10.0 | 80.0 | 80.0 | 61.9 | 60.4 |
| CA | 27 | (1,2) | 10.0 | 80.0 | 80.0 | 100.0 | 67.4 |
| CA | 28 | (2,0) | 10.0 | 80.0 | 80.0 | 78.4 | 78.0 |
| CA | 29 | (1,2) | 10.0 | 80.0 | 80.0 | 80.6 | 100.0 |
| CA | 30 | (1,2) | 10.0 | 80.0 | 80.0 | 73.4 | 72.6 |
| CA | 31 | (2,0) | 10.0 | 80.0 | 80.0 | 58.7 | 56.1 |
| CA | 32 | (1,2) | 10.0 | 80.0 | 80.0 | 68.8 | 100.0 |
| CA | 33 | (2,0) | 10.0 | 80.0 | 80.0 | 70.0 | 66.4 |
| CA | 34 | (1,2) | 10.0 | 80.0 | 80.0 | 100.0 | 100.0 |
| CA | 35 | (1,2) | 10.0 | 80.0 | 80.0 | 69.4 | 72.4 |
| CA | 36 | (1,1) | 10.0 | 80.0 | 80.0 | 59.0 | 62.1 |
| CA | 37 | (1,2) | 10.0 | 80.0 | 80.0 | 89.1 | 100.0 |
| CA | 38 | (1,2) | 10.0 | 80.0 | 80.0 | 68.9 | 70.5 |
| CA | 39 | (1,2) | 10.0 | 80.0 | 80.0 | 51.6 | 42.8 |
| CA | 40 | (1,2) | 10.0 | 80.0 | 80.0 | 100.0 | 100.0 |
| CA | 41 | (1,2) | 10.0 | 80.0 | 80.0 | 65.1 | 65.0 |
| CA | 42 | (2,0) | 10.0 | 80.0 | 80.0 | 43.5 | 41.2 |
| CA | 43 | (1,2) | 10.0 | 80.0 | 80.0 | 77.7 | 76.1 |
| CA | 44 | (1,2) | 10.0 | 80.0 | 80.0 | 100.0 | 100.0 |
| CA | 45 | (2,0) | 10.0 | 80.0 | 80.0 | 52.1 | 41.4 |
| CA | 46 | (1,2) | 10.0 | 80.0 | 80.0 | 69.1 | 100.0 |
| CA | 47 | (1,2) | 10.0 | 80.0 | 80.0 | 64.9 | 63.7 |
| CA | 48 | (1,1) | 10.0 | 80.0 | 80.0 | 53.6 | 41.7 |
| CA | 49 | (2,0) | 10.0 | 80.0 | 80.0 | 56.4 | 49.7 |
| CA | 50 | (2,0) | 10.0 | 80.0 | 80.0 | 48.3 | 36.5 |
| CA | 51 | (2,0) | 10.0 | 80.0 | 80.0 | 71.2 | 72.8 |
| CA | 52 | (2,0) | 10.0 | 80.0 | 80.0 | 63.8 | 56.5 |
| CA | 53 | (2,0) | 10.0 | 80.0 | 80.0 | 69.1 | 67.0 |
| CO | 1 | (2,0) | 10.0 | 80.0 | 80.0 | 76.2 | 71.0 |
| CO | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 64.2 | 60.5 |
| CO | 3 | (2,2) | 10.0 | 80.0 | 80.0 | 45.8 | 42.5 |
| CO | 4 | (0,1) | 10.0 | 80.0 | 80.0 | 39.4 | 33.2 |
| CO | 5 | (2,2) | 10.0 | 80.0 | 80.0 | 40.8 | 33.1 |
| CO | 6 | (2,0) | 10.0 | 80.0 | 80.0 | 55.8 | 45.6 |
| CO | 7 | (0,1) | 10.0 | 80.0 | 80.0 | 63.0 | 58.1 |
| CT | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 63.4 | 63.9 |
| CT | 2 | (1,1) | 10.0 | 80.0 | 80.0 | 62.1 | 62.6 |
| CT | 3 | (1,1) | 10.0 | 80.0 | 80.0 | 63.0 | 66.7 |
| CT | 4 | (1,1) | 10.0 | 80.0 | 80.0 | 62.1 | 60.9 |
| CT | 5 | (1,1) | 10.0 | 80.0 | 80.0 | 55.4 | 56.7 |
| DE | 0 | (1,1) | 10.0 | 80.0 | 80.0 | 64.5 | 57.5 |
| FL | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 32.9 | 30.9 |
| FL | 2 | (1,1) | 10.0 | 80.0 | 80.0 | 32.6 | 30.8 |
| FL | 3 | (1,1) | 10.0 | 80.0 | 80.0 | 42.4 | 41.3 |
| FL | 4 | (1,1) | 10.0 | 80.0 | 80.0 | 33.2 | 28.2 |
| FL | 5 | (0,2) | 10.0 | 80.0 | 80.0 | 66.8 | 64.2 |
| FL | 6 | (2,1) | 10.0 | 80.0 | 80.0 | 43.7 | 41.4 |
| FL | 7 | (1,1) | 10.0 | 80.0 | 80.0 | 57.7 | 51.5 |
| FL | 8 | (2,1) | 10.0 | 80.0 | 80.0 | 39.5 | 34.0 |
| FL | 9 | (0,0) | 10.0 | 80.0 | 80.0 | 58.0 | 57.5 |
| FL | 10 | (0,0) | 10.0 | 80.0 | 80.0 | 100.0 | 64.9 |
| FL | 11 | (2,1) | 10.0 | 80.0 | 80.0 | 34.8 | 32.6 |
| FL | 12 | (2,1) | 10.0 | 80.0 | 80.0 | 40.6 | 31.4 |
| FL | 13 | (2,1) | 10.0 | 80.0 | 80.0 | 57.6 | 51.9 |
| FL | 14 | (0,0) | 10.0 | 80.0 | 80.0 | 100.0 | 61.8 |
| FL | 15 | (1,1) | 10.0 | 80.0 | 80.0 | 47.0 | 42.5 |
| FL | 16 | (2,1) | 10.0 | 80.0 | 80.0 | 45.4 | 40.2 |
| FL | 17 | (2,1) | 10.0 | 80.0 | 80.0 | 37.7 | 35.6 |
| FL | 18 | (2,1) | 10.0 | 80.0 | 80.0 | 45.7 | 44.6 |
| FL | 19 | (2,1) | 10.0 | 80.0 | 80.0 | 37.7 | 34.1 |
| FL | 20 | (1,0) | 10.0 | 80.0 | 80.0 | 100.0 | 80.3 |
| FL | 21 | (1,1) | 10.0 | 80.0 | 80.0 | 100.0 | 64.1 |
| FL | 22 | (0,2) | 10.0 | 80.0 | 80.0 | 62.0 | 58.9 |
| FL | 23 | (0,0) | 10.0 | 80.0 | 80.0 | 61.9 | 58.3 |
| FL | 24 | (0,0) | 10.0 | 80.0 | 80.0 | 100.0 | 0.0 |
| FL | 25 | (0,0) | 10.0 | 80.0 | 80.0 | 39.5 | 37.6 |
| FL | 26 | (0,0) | 10.0 | 80.0 | 80.0 | 50.9 | 43.7 |
| FL | 27 | (0,0) | 10.0 | 80.0 | 80.0 | 53.1 | 45.1 |
| GA | 1 | (0,2) | 10.0 | 80.0 | 80.0 | 42.3 | 0.0 |
| GA | 2 | (1,0) | 10.0 | 80.0 | 80.0 | 59.6 | 61.2 |
| GA | 3 | (0,2) | 10.0 | 80.0 | 80.0 | 34.5 | 31.7 |
| GA | 4 | (1,0) | 10.0 | 80.0 | 80.0 | 78.8 | 75.7 |
| GA | 5 | (1,0) | 10.0 | 80.0 | 80.0 | 100.0 | 84.4 |
| GA | 6 | (1,1) | 10.0 | 80.0 | 80.0 | 50.5 | 38.3 |
| GA | 7 | (0,2) | 10.0 | 80.0 | 80.0 | 49.9 | 39.6 |
| GA | 8 | (0,2) | 10.0 | 80.0 | 80.0 | 0.0 | 32.4 |
| GA | 9 | (2,2) | 10.0 | 80.0 | 80.0 | 20.5 | 0.0 |
| GA | 10 | (0,2) | 10.0 | 80.0 | 80.0 | 37.1 | 0.0 |
| GA | 11 | (1,1) | 10.0 | 80.0 | 80.0 | 38.2 | 32.6 |
| GA | 12 | (0,2) | 10.0 | 80.0 | 80.0 | 40.5 | 38.4 |
| GA | 13 | (1,0) | 10.0 | 80.0 | 80.0 | 76.2 | 100.0 |
| GA | 14 | (2,2) | 10.0 | 80.0 | 80.0 | 23.5 | 0.0 |
| HI | 1 | (1,2) | 10.0 | 80.0 | 80.0 | 76.0 | 76.0 |
| HI | 2 | (1,2) | 10.0 | 80.0 | 80.0 | 77.4 | 81.2 |
| IA | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 52.6 | 46.2 |
| IA | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 56.3 | 53.7 |
| IA | 3 | (0,1) | 10.0 | 80.0 | 80.0 | 51.1 | 42.6 |
| IA | 4 | (2,2) | 10.0 | 80.0 | 80.0 | 48.3 | 38.7 |
| ID | 1 | (0,1) | 10.0 | 80.0 | 80.0 | 32.9 | 31.8 |
| ID | 2 | (0,1) | 10.0 | 80.0 | 80.0 | 39.3 | 31.8 |
| IL | 1 | (1,0) | 10.0 | 80.0 | 80.0 | 78.8 | 74.1 |
| IL | 2 | (1,0) | 10.0 | 80.0 | 80.0 | 81.1 | 79.8 |
| IL | 3 | (2,0) | 10.0 | 80.0 | 80.0 | 73.8 | 100.0 |
| IL | 4 | (1,2) | 10.0 | 80.0 | 80.0 | 86.6 | 100.0 |
| IL | 5 | (2,0) | 10.0 | 80.0 | 80.0 | 76.7 | 71.2 |
| IL | 6 | (1,1) | 10.0 | 80.0 | 80.0 | 53.6 | 40.8 |
| IL | 7 | (1,0) | 10.0 | 80.0 | 80.0 | 87.6 | 84.2 |
| IL | 8 | (1,1) | 10.0 | 80.0 | 80.0 | 66.0 | 58.3 |
| IL | 9 | (2,0) | 10.0 | 80.0 | 80.0 | 73.5 | 66.5 |
| IL | 10 | (2,0) | 10.0 | 80.0 | 80.0 | 65.6 | 52.6 |
| IL | 11 | (2,0) | 10.0 | 80.0 | 80.0 | 63.8 | 60.4 |
| IL | 12 | (1,1) | 10.0 | 80.0 | 80.0 | 46.8 | 42.2 |
| IL | 13 | (1,1) | 10.0 | 80.0 | 80.0 | 49.6 | 40.3 |
| IL | 14 | (2,2) | 10.0 | 80.0 | 80.0 | 52.5 | 40.7 |
| IL | 15 | (2,2) | 10.0 | 80.0 | 80.0 | 29.1 | 0.0 |
| IL | 16 | (2,2) | 10.0 | 80.0 | 80.0 | 40.9 | 0.0 |
| IL | 17 | (2,2) | 10.0 | 80.0 | 80.0 | 62.1 | 60.3 |
| IL | 18 | (2,2) | 10.0 | 80.0 | 80.0 | 32.8 | 27.9 |
| IN | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 65.1 | 100.0 |
| IN | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 45.2 | 38.4 |
| IN | 3 | (2,2) | 10.0 | 80.0 | 80.0 | 35.3 | 24.7 |
| IN | 4 | (2,2) | 10.0 | 80.0 | 80.0 | 35.9 | 32.1 |
| IN | 5 | (2,2) | 10.0 | 80.0 | 80.0 | 43.2 | 35.8 |
| IN | 6 | (2,2) | 10.0 | 80.0 | 80.0 | 34.0 | 27.9 |
| IN | 7 | (0,2) | 10.0 | 80.0 | 80.0 | 64.9 | 62.7 |
| IN | 8 | (2,2) | 10.0 | 80.0 | 80.0 | 35.6 | 33.2 |
| IN | 9 | (2,2) | 10.0 | 80.0 | 80.0 | 43.5 | 42.8 |
| KS | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 31.9 | 0.0 |
| KS | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 49.6 | 34.8 |
| KS | 3 | (2,0) | 10.0 | 80.0 | 80.0 | 55.0 | 44.2 |
| KS | 4 | (2,2) | 10.0 | 80.0 | 80.0 | 40.6 | 32.8 |
| KY | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 31.4 | 27.4 |
| KY | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 31.8 | 0.0 |
| KY | 3 | (1,1) | 10.0 | 80.0 | 80.0 | 62.9 | 63.5 |
| KY | 4 | (0,1) | 10.0 | 80.0 | 80.0 | 35.7 | 28.7 |
| KY | 5 | (2,2) | 10.0 | 80.0 | 80.0 | 21.1 | 0.0 |
| KY | 6 | (2,2) | 10.0 | 80.0 | 80.0 | 48.4 | 38.9 |
| LA | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 27.1 | 20.7 |
| LA | 2 | (1,0) | 10.0 | 80.0 | 80.0 | 100.0 | 100.0 |
| LA | 3 | (1,1) | 10.0 | 80.0 | 80.0 | 30.7 | 20.3 |
| LA | 4 | (0,2) | 10.0 | 80.0 | 80.0 | 34.4 | 17.7 |
| LA | 5 | (0,2) | 10.0 | 80.0 | 80.0 | 31.1 | 0.0 |
| LA | 6 | (0,2) | 10.0 | 80.0 | 80.0 | 29.1 | 24.7 |
| MA | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 100.0 | 100.0 |
| MA | 2 | (1,1) | 10.0 | 80.0 | 80.0 | 67.2 | 100.0 |
| MA | 3 | (1,1) | 10.0 | 80.0 | 80.0 | 65.0 | 68.8 |
| MA | 4 | (1,1) | 10.0 | 80.0 | 80.0 | 100.0 | 70.2 |
| MA | 5 | (1,1) | 10.0 | 80.0 | 80.0 | 75.9 | 100.0 |
| MA | 6 | (1,1) | 10.0 | 80.0 | 80.0 | 67.5 | 100.0 |
| MA | 7 | (0,2) | 10.0 | 80.0 | 80.0 | 100.0 | 100.0 |
| MA | 8 | (1,1) | 10.0 | 80.0 | 80.0 | 100.0 | 72.5 |
| MA | 9 | (2,1) | 10.0 | 80.0 | 80.0 | 59.4 | 62.4 |
| MD | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 38.8 | 29.9 |
| MD | 2 | (0,2) | 10.0 | 80.0 | 80.0 | 68.3 | 65.2 |
| MD | 3 | (0,2) | 10.0 | 80.0 | 80.0 | 71.0 | 65.1 |
| MD | 4 | (1,0) | 10.0 | 80.0 | 80.0 | 79.7 | 77.6 |
| MD | 5 | (1,0) | 10.0 | 80.0 | 80.0 | 72.2 | 69.6 |
| MD | 6 | (1,1) | 10.0 | 80.0 | 80.0 | 60.8 | 58.3 |
| MD | 7 | (1,0) | 10.0 | 80.0 | 80.0 | 78.2 | 77.4 |
| MD | 8 | (1,1) | 10.0 | 80.0 | 80.0 | 69.3 | 63.9 |
| ME | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 64.4 | 58.0 |
| ME | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 50.5 | 45.2 |
| MI | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 43.7 | 42.2 |
| MI | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 43.7 | 34.2 |
| MI | 3 | (2,2) | 10.0 | 80.0 | 80.0 | 44.2 | 38.7 |
| MI | 4 | (2,2) | 10.0 | 80.0 | 80.0 | 37.4 | 34.2 |
| MI | 5 | (1,1) | 10.0 | 80.0 | 80.0 | 62.4 | 63.5 |
| MI | 6 | (2,2) | 10.0 | 80.0 | 80.0 | 47.6 | 38.3 |
| MI | 7 | (2,2) | 10.0 | 80.0 | 80.0 | 46.2 | 42.1 |
| MI | 8 | (2,2) | 10.0 | 80.0 | 80.0 | 52.0 | 41.2 |
| MI | 9 | (1,1) | 10.0 | 80.0 | 80.0 | 61.8 | 60.8 |
| MI | 10 | (2,2) | 10.0 | 80.0 | 80.0 | 36.7 | 33.9 |
| MI | 11 | (1,1) | 10.0 | 80.0 | 80.0 | 53.4 | 43.1 |
| MI | 12 | (1,1) | 10.0 | 80.0 | 80.0 | 70.2 | 68.7 |
| MI | 13 | (1,0) | 10.0 | 80.0 | 80.0 | 100.0 | 83.1 |
| MI | 14 | (1,0) | 10.0 | 80.0 | 80.0 | 82.4 | 80.8 |
| MN | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 49.8 | 50.4 |
| MN | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 52.8 | 49.0 |
| MN | 3 | (1,1) | 10.0 | 80.0 | 80.0 | 55.7 | 43.1 |
| MN | 4 | (1,1) | 10.0 | 80.0 | 80.0 | 68.9 | 62.7 |
| MN | 5 | (2,0) | 10.0 | 80.0 | 80.0 | 78.2 | 75.6 |
| MN | 6 | (2,2) | 10.0 | 80.0 | 80.0 | 38.8 | 34.3 |
| MN | 7 | (2,2) | 10.0 | 80.0 | 80.0 | 52.1 | 52.5 |
| MN | 8 | (2,2) | 10.0 | 80.0 | 80.0 | 47.1 | 50.3 |
| MO | 1 | (1,0) | 10.0 | 80.0 | 80.0 | 82.7 | 79.1 |
| MO | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 48.0 | 39.2 |
| MO | 3 | (0,1) | 10.0 | 80.0 | 80.0 | 33.5 | 29.2 |
| MO | 4 | (2,2) | 10.0 | 80.0 | 80.0 | 33.5 | 29.1 |
| MO | 5 | (1,1) | 10.0 | 80.0 | 80.0 | 63.4 | 60.6 |
| MO | 6 | (2,2) | 10.0 | 80.0 | 80.0 | 32.8 | 29.5 |
| MO | 7 | (2,2) | 10.0 | 80.0 | 80.0 | 31.2 | 28.9 |
| MO | 8 | (2,2) | 10.0 | 80.0 | 80.0 | 25.4 | 23.4 |
| MS | 1 | (0,2) | 10.0 | 80.0 | 80.0 | 32.6 | 28.9 |
| MS | 2 | (1,0) | 10.0 | 80.0 | 80.0 | 100.0 | 69.7 |
| MS | 3 | (0,2) | 10.0 | 80.0 | 80.0 | 37.1 | 31.4 |
| MS | 4 | (1,1) | 10.0 | 80.0 | 80.0 | 31.1 | 29.9 |
| MT | 0 | (0,1) | 10.0 | 80.0 | 80.0 | 47.6 | 41.9 |
| NC | 1 | (0,2) | 10.0 | 80.0 | 80.0 | 69.8 | 70.3 |
| NC | 2 | (1,1) | 10.0 | 80.0 | 80.0 | 47.2 | 43.3 |
| NC | 3 | (1,1) | 10.0 | 80.0 | 80.0 | 0.0 | 32.8 |
| NC | 4 | (2,0) | 10.0 | 80.0 | 80.0 | 75.1 | 68.2 |
| NC | 5 | (1,1) | 10.0 | 80.0 | 80.0 | 43.0 | 41.6 |
| NC | 6 | (1,1) | 10.0 | 80.0 | 80.0 | 43.5 | 40.8 |
| NC | 7 | (1,1) | 10.0 | 80.0 | 80.0 | 43.5 | 39.1 |
| NC | 8 | (1,1) | 10.0 | 80.0 | 80.0 | 44.7 | 41.2 |
| NC | 9 | (0,2) | 10.0 | 80.0 | 80.0 | 49.8 | 41.8 |
| NC | 10 | (1,1) | 10.0 | 80.0 | 80.0 | 40.7 | 36.9 |
| NC | 11 | (2,2) | 10.0 | 80.0 | 80.0 | 39.6 | 35.9 |
| NC | 12 | (0,2) | 10.0 | 80.0 | 80.0 | 73.1 | 67.0 |
| NC | 13 | (1,1) | 10.0 | 80.0 | 80.0 | 46.9 | 43.9 |
| ND | 0 | (2,2) | 10.0 | 80.0 | 80.0 | 37.1 | 25.6 |
| NE | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 39.6 | 30.5 |
| NE | 2 | (2,0) | 10.0 | 80.0 | 80.0 | 49.0 | 49.4 |
| NE | 3 | (2,2) | 10.0 | 80.0 | 80.0 | 23.3 | 0.0 |
| NH | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 54.3 | 50.8 |
| NH | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 56.8 | 52.3 |
| NJ | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 65.9 | 62.0 |
| NJ | 2 | (1,1) | 10.0 | 80.0 | 80.0 | 53.9 | 38.6 |
| NJ | 3 | (1,1) | 10.0 | 80.0 | 80.0 | 50.7 | 39.6 |
| NJ | 4 | (1,1) | 10.0 | 80.0 | 80.0 | 43.7 | 34.5 |
| NJ | 5 | (1,1) | 10.0 | 80.0 | 80.0 | 56.9 | 52.3 |
| NJ | 6 | (1,1) | 10.0 | 80.0 | 80.0 | 63.6 | 64.6 |
| NJ | 7 | (1,1) | 10.0 | 80.0 | 80.0 | 52.5 | 44.4 |
| NJ | 8 | (0,0) | 10.0 | 80.0 | 80.0 | 80.7 | 80.6 |
| NJ | 9 | (0,0) | 10.0 | 80.0 | 80.0 | 70.9 | 71.3 |
| NJ | 10 | (1,0) | 10.0 | 80.0 | 80.0 | 89.7 | 87.8 |
| NJ | 11 | (1,1) | 10.0 | 80.0 | 80.0 | 57.4 | 40.1 |
| NJ | 12 | (0,2) | 10.0 | 80.0 | 80.0 | 68.7 | 66.3 |
| NM | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 61.9 | 65.1 |
| NM | 2 | (2,0) | 10.0 | 80.0 | 80.0 | 50.9 | 37.3 |
| NM | 3 | (1,2) | 10.0 | 80.0 | 80.0 | 67.0 | 62.4 |
| NV | 1 | (1,2) | 10.0 | 80.0 | 80.0 | 68.2 | 68.3 |
| NV | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 41.8 | 38.8 |
| NV | 3 | (1,1) | 10.0 | 80.0 | 80.0 | 54.8 | 50.7 |
| NV | 4 | (2,0) | 10.0 | 80.0 | 80.0 | 54.3 | 52.2 |
| NY | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 50.5 | 44.4 |
| NY | 2 | (1,1) | 10.0 | 80.0 | 80.0 | 49.2 | 39.4 |
| NY | 3 | (1,1) | 10.0 | 80.0 | 80.0 | 60.3 | 56.2 |
| NY | 4 | (0,2) | 10.0 | 80.0 | 80.0 | 63.4 | 62.0 |
| NY | 5 | (1,0) | 10.0 | 80.0 | 80.0 | 100.0 | 88.1 |
| NY | 6 | (0,0) | 10.0 | 80.0 | 80.0 | 100.0 | 75.0 |
| NY | 7 | (0,0) | 10.0 | 80.0 | 80.0 | 100.0 | 91.7 |
| NY | 8 | (1,0) | 10.0 | 80.0 | 80.0 | 100.0 | 100.0 |
| NY | 9 | (1,0) | 10.0 | 80.0 | 80.0 | 89.9 | 100.0 |
| NY | 10 | (2,0) | 10.0 | 80.0 | 80.0 | 82.8 | 79.6 |
| NY | 11 | (1,1) | 10.0 | 80.0 | 80.0 | 54.6 | 41.0 |
| NY | 12 | (2,0) | 10.0 | 80.0 | 80.0 | 87.1 | 82.3 |
| NY | 13 | (0,0) | 10.0 | 80.0 | 80.0 | 94.7 | 94.0 |
| NY | 14 | (0,0) | 10.0 | 80.0 | 80.0 | 85.2 | 83.7 |
| NY | 15 | (0,0) | 10.0 | 80.0 | 80.0 | 96.4 | 96.4 |
| NY | 16 | (0,0) | 10.0 | 80.0 | 80.0 | 100.0 | 100.0 |
| NY | 17 | (1,1) | 10.0 | 80.0 | 80.0 | 100.0 | 100.0 |
| NY | 18 | (1,1) | 10.0 | 80.0 | 80.0 | 56.7 | 55.9 |
| NY | 19 | (1,1) | 10.0 | 80.0 | 80.0 | 54.7 | 48.1 |
| NY | 20 | (1,1) | 10.0 | 80.0 | 80.0 | 64.4 | 69.3 |
| NY | 21 | (2,2) | 10.0 | 80.0 | 80.0 | 44.5 | 33.2 |
| NY | 22 | (2,2) | 10.0 | 80.0 | 80.0 | 51.3 | 47.6 |
| NY | 23 | (2,2) | 10.0 | 80.0 | 80.0 | 46.8 | 43.8 |
| NY | 24 | (1,1) | 10.0 | 80.0 | 80.0 | 50.5 | 42.4 |
| NY | 25 | (1,1) | 10.0 | 80.0 | 80.0 | 61.8 | 59.7 |
| NY | 26 | (1,1) | 10.0 | 80.0 | 80.0 | 71.9 | 77.4 |
| NY | 27 | (2,2) | 10.0 | 80.0 | 80.0 | 52.8 | 38.1 |
| OH | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 47.8 | 40.8 |
| OH | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 41.7 | 33.6 |
| OH | 3 | (0,2) | 10.0 | 80.0 | 80.0 | 73.6 | 68.6 |
| OH | 4 | (2,2) | 10.0 | 80.0 | 80.0 | 34.7 | 32.0 |
| OH | 5 | (2,2) | 10.0 | 80.0 | 80.0 | 36.1 | 29.1 |
| OH | 6 | (2,2) | 10.0 | 80.0 | 80.0 | 30.7 | 29.3 |
| OH | 7 | (2,2) | 10.0 | 80.0 | 80.0 | 41.3 | 31.1 |
| OH | 8 | (2,2) | 10.0 | 80.0 | 80.0 | 33.4 | 28.2 |
| OH | 9 | (1,1) | 10.0 | 80.0 | 80.0 | 67.8 | 68.7 |
| OH | 10 | (1,1) | 10.0 | 80.0 | 80.0 | 43.0 | 33.8 |
| OH | 11 | (1,0) | 10.0 | 80.0 | 80.0 | 82.2 | 80.3 |
| OH | 12 | (2,2) | 10.0 | 80.0 | 80.0 | 47.9 | 31.0 |
| OH | 13 | (1,1) | 10.0 | 80.0 | 80.0 | 61.0 | 67.7 |
| OH | 14 | (2,2) | 10.0 | 80.0 | 80.0 | 44.8 | 37.4 |
| OH | 15 | (2,2) | 10.0 | 80.0 | 80.0 | 40.5 | 33.8 |
| OH | 16 | (2,2) | 10.0 | 80.0 | 80.0 | 43.3 | 34.7 |
| OK | 1 | (2,0) | 10.0 | 80.0 | 80.0 | 40.7 | 0.0 |
| OK | 2 | (2,0) | 10.0 | 80.0 | 80.0 | 31.6 | 24.7 |
| OK | 3 | (2,2) | 10.0 | 80.0 | 80.0 | 26.1 | 21.7 |
| OK | 4 | (2,2) | 10.0 | 80.0 | 80.0 | 34.4 | 27.3 |
| OK | 5 | (2,0) | 10.0 | 80.0 | 80.0 | 50.7 | 39.2 |
| OR | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 66.5 | 61.7 |
| OR | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 41.2 | 28.1 |
| OR | 3 | (2,2) | 10.0 | 80.0 | 80.0 | 78.6 | 100.0 |
| OR | 4 | (2,2) | 10.0 | 80.0 | 80.0 | 57.8 | 58.3 |
| OR | 5 | (2,2) | 10.0 | 80.0 | 80.0 | 56.8 | 55.4 |
| PA | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 48.7 | 82.2 |
| PA | 2 | (0,0) | 10.0 | 80.0 | 80.0 | 79.0 | 90.2 |
| PA | 3 | (1,0) | 10.0 | 80.0 | 80.0 | 93.4 | 0.0 |
| PA | 4 | (1,1) | 10.0 | 80.0 | 80.0 | 63.5 | 33.9 |
| PA | 5 | (0,2) | 10.0 | 80.0 | 80.0 | 65.2 | 32.8 |
| PA | 6 | (1,1) | 10.0 | 80.0 | 80.0 | 58.9 | 42.8 |
| PA | 7 | (1,1) | 10.0 | 80.0 | 80.0 | 55.2 | 40.5 |
| PA | 8 | (2,1) | 10.0 | 80.0 | 80.0 | 54.6 | 45.6 |
| PA | 9 | (2,2) | 10.0 | 80.0 | 80.0 | 40.3 | 36.7 |
| PA | 10 | (1,1) | 10.0 | 80.0 | 80.0 | 48.7 | 29.8 |
| PA | 11 | (2,2) | 10.0 | 80.0 | 80.0 | 41.0 | 36.3 |
| PA | 12 | (2,2) | 10.0 | 80.0 | 80.0 | 34.0 | 38.2 |
| PA | 13 | (2,2) | 10.0 | 80.0 | 80.0 | 29.5 | 100.0 |
| PA | 14 | (2,2) | 10.0 | 80.0 | 80.0 | 42.1 | 74.4 |
| PA | 15 | (2,2) | 10.0 | 80.0 | 80.0 | 32.2 | 39.4 |
| PA | 16 | (2,2) | 10.0 | 80.0 | 80.0 | 47.8 | 44.4 |
| PA | 17 | (2,2) | 10.0 | 80.0 | 80.0 | 56.3 | 53.8 |
| PA | 18 | (1,1) | 10.0 | 80.0 | 80.0 | 100.0 | 0.0 |
| RI | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 66.9 | 64.8 |
| RI | 2 | (1,1) | 10.0 | 80.0 | 80.0 | 63.6 | 65.4 |
| SC | 1 | (0,2) | 10.0 | 80.0 | 80.0 | 50.7 | 36.7 |
| SC | 2 | (0,2) | 10.0 | 80.0 | 80.0 | 43.0 | 36.4 |
| SC | 3 | (1,1) | 10.0 | 80.0 | 80.0 | 31.4 | 27.1 |
| SC | 4 | (1,1) | 10.0 | 80.0 | 80.0 | 38.0 | 31.6 |
| SC | 5 | (0,2) | 10.0 | 80.0 | 80.0 | 42.1 | 39.5 |
| SC | 6 | (0,2) | 10.0 | 80.0 | 80.0 | 71.3 | 71.7 |
| SC | 7 | (0,2) | 10.0 | 80.0 | 80.0 | 40.4 | 37.0 |
| SD | 0 | (2,2) | 10.0 | 80.0 | 80.0 | 37.4 | 35.9 |
| TN | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 21.4 | 16.4 |
| TN | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 33.4 | 24.4 |
| TN | 3 | (2,2) | 10.0 | 80.0 | 80.0 | 35.1 | 30.3 |
| TN | 4 | (2,2) | 10.0 | 80.0 | 80.0 | 34.6 | 35.0 |
| TN | 5 | (0,2) | 10.0 | 80.0 | 80.0 | 67.8 | 62.6 |
| TN | 6 | (2,2) | 10.0 | 80.0 | 80.0 | 28.9 | 23.5 |
| TN | 7 | (2,2) | 10.0 | 80.0 | 80.0 | 32.4 | 24.6 |
| TN | 8 | (1,1) | 10.0 | 80.0 | 80.0 | 30.8 | 26.7 |
| TN | 9 | (1,0) | 10.0 | 80.0 | 80.0 | 80.6 | 80.7 |
| TX | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 26.7 | 24.6 |
| TX | 2 | (2,0) | 10.0 | 80.0 | 80.0 | 46.3 | 37.3 |
| TX | 3 | (2,0) | 10.0 | 80.0 | 80.0 | 44.9 | 36.1 |
| TX | 4 | (2,2) | 10.0 | 80.0 | 80.0 | 23.3 | 0.0 |
| TX | 5 | (1,1) | 10.0 | 80.0 | 80.0 | 37.6 | 0.0 |
| TX | 6 | (2,0) | 10.0 | 80.0 | 80.0 | 46.1 | 40.1 |
| TX | 7 | (0,2) | 10.0 | 80.0 | 80.0 | 52.5 | 43.8 |
| TX | 8 | (0,1) | 10.0 | 80.0 | 80.0 | 25.3 | 0.0 |
| TX | 9 | (1,0) | 10.0 | 80.0 | 80.0 | 100.0 | 80.6 |
| TX | 10 | (2,0) | 10.0 | 80.0 | 80.0 | 47.8 | 40.1 |
| TX | 11 | (0,1) | 10.0 | 80.0 | 80.0 | 18.7 | 0.0 |
| TX | 12 | (2,2) | 10.0 | 80.0 | 80.0 | 34.5 | 27.9 |
| TX | 13 | (2,2) | 10.0 | 80.0 | 80.0 | 17.2 | 0.0 |
| TX | 14 | (1,1) | 10.0 | 80.0 | 80.0 | 39.9 | 38.1 |
| TX | 15 | (0,1) | 10.0 | 80.0 | 80.0 | 60.6 | 60.3 |
| TX | 16 | (2,0) | 10.0 | 80.0 | 80.0 | 71.7 | 100.0 |
| TX | 17 | (2,0) | 10.0 | 80.0 | 80.0 | 42.1 | 36.7 |
| TX | 18 | (0,2) | 10.0 | 80.0 | 80.0 | 78.3 | 75.7 |
| TX | 19 | (2,0) | 10.0 | 80.0 | 80.0 | 24.8 | 0.0 |
| TX | 20 | (0,1) | 10.0 | 80.0 | 80.0 | 100.0 | 100.0 |
| TX | 21 | (2,2) | 10.0 | 80.0 | 80.0 | 48.7 | 39.0 |
| TX | 22 | (2,0) | 10.0 | 80.0 | 80.0 | 47.5 | 40.5 |
| TX | 23 | (0,1) | 10.0 | 80.0 | 80.0 | 49.8 | 49.3 |
| TX | 24 | (1,1) | 10.0 | 80.0 | 80.0 | 48.4 | 41.2 |
| TX | 25 | (2,2) | 10.0 | 80.0 | 80.0 | 45.6 | 39.3 |
| TX | 26 | (0,1) | 10.0 | 80.0 | 80.0 | 39.7 | 30.9 |
| TX | 27 | (2,2) | 10.0 | 80.0 | 80.0 | 37.8 | 38.3 |
| TX | 28 | (0,1) | 10.0 | 80.0 | 80.0 | 100.0 | 67.9 |
| TX | 29 | (2,0) | 10.0 | 80.0 | 80.0 | 75.8 | 75.1 |
| TX | 30 | (1,0) | 10.0 | 80.0 | 80.0 | 100.0 | 80.4 |
| TX | 31 | (2,0) | 10.0 | 80.0 | 80.0 | 48.5 | 38.5 |
| TX | 32 | (2,0) | 10.0 | 80.0 | 80.0 | 53.3 | 0.0 |
| TX | 33 | (0,2) | 10.0 | 80.0 | 80.0 | 77.7 | 73.7 |
| TX | 34 | (0,1) | 10.0 | 80.0 | 80.0 | 60.0 | 62.7 |
| TX | 35 | (2,0) | 10.0 | 80.0 | 80.0 | 73.2 | 66.6 |
| TX | 36 | (2,2) | 10.0 | 80.0 | 80.0 | 27.4 | 0.0 |
| UT | 1 | (0,1) | 10.0 | 80.0 | 80.0 | 28.8 | 28.6 |
| UT | 2 | (0,1) | 10.0 | 80.0 | 80.0 | 40.9 | 35.5 |
| UT | 3 | (0,1) | 10.0 | 80.0 | 80.0 | 28.8 | 26.5 |
| UT | 4 | (0,1) | 10.0 | 80.0 | 80.0 | 50.1 | 43.5 |
| VA | 1 | (1,1) | 10.0 | 80.0 | 80.0 | 44.8 | 37.9 |
| VA | 2 | (0,2) | 10.0 | 80.0 | 80.0 | 51.1 | 38.5 |
| VA | 3 | (1,0) | 10.0 | 80.0 | 80.0 | 100.0 | 66.9 |
| VA | 4 | (0,2) | 10.0 | 80.0 | 80.0 | 63.5 | 57.9 |
| VA | 5 | (1,1) | 10.0 | 80.0 | 80.0 | 46.7 | 41.7 |
| VA | 6 | (2,2) | 10.0 | 80.0 | 80.0 | 40.2 | 33.2 |
| VA | 7 | (1,1) | 10.0 | 80.0 | 80.0 | 51.0 | 42.3 |
| VA | 8 | (0,2) | 10.0 | 80.0 | 80.0 | 76.3 | 71.5 |
| VA | 9 | (2,2) | 10.0 | 80.0 | 80.0 | 34.8 | 29.2 |
| VA | 10 | (2,0) | 10.0 | 80.0 | 80.0 | 56.2 | 47.1 |
| VA | 11 | (1,2) | 10.0 | 80.0 | 80.0 | 72.5 | 100.0 |
| VT | 0 | (2,2) | 10.0 | 80.0 | 80.0 | 72.7 | 100.0 |
| WA | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 59.3 | 55.4 |
| WA | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 100.0 | 64.0 |
| WA | 3 | (2,2) | 10.0 | 80.0 | 80.0 | 47.3 | 38.2 |
| WA | 4 | (2,0) | 10.0 | 80.0 | 80.0 | 37.2 | 0.0 |
| WA | 5 | (2,2) | 10.0 | 80.0 | 80.0 | 45.2 | 40.4 |
| WA | 6 | (2,2) | 10.0 | 80.0 | 80.0 | 63.9 | 61.5 |
| WA | 7 | (2,0) | 10.0 | 80.0 | 80.0 | 83.6 | 100.0 |
| WA | 8 | (2,0) | 10.0 | 80.0 | 80.0 | 52.4 | 39.8 |
| WA | 9 | (1,2) | 10.0 | 80.0 | 80.0 | 100.0 | 72.9 |
| WA | 10 | (2,0) | 10.0 | 80.0 | 80.0 | 61.5 | 58.7 |
| WI | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 43.7 | 31.7 |
| WI | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 100.0 | 68.8 |
| WI | 3 | (2,2) | 10.0 | 80.0 | 80.0 | 59.7 | 100.0 |
| WI | 4 | (0,2) | 10.0 | 80.0 | 80.0 | 77.8 | 100.0 |
| WI | 5 | (2,2) | 10.0 | 80.0 | 80.0 | 38.0 | 30.5 |
| WI | 6 | (2,2) | 10.0 | 80.0 | 80.0 | 44.5 | 39.5 |
| WI | 7 | (2,2) | 10.0 | 80.0 | 80.0 | 39.0 | 38.3 |
| WI | 8 | (2,2) | 10.0 | 80.0 | 80.0 | 36.3 | 37.3 |
| WV | 1 | (2,2) | 10.0 | 80.0 | 80.0 | 35.4 | 31.0 |
| WV | 2 | (2,2) | 10.0 | 80.0 | 80.0 | 44.3 | 41.8 |
| WV | 3 | (1,1) | 10.0 | 80.0 | 80.0 | 43.6 | 26.1 |
| WY | 0 | (2,0) | 10.0 | 80.0 | 80.0 | 31.9 | 32.6 |
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